{"meta":{"query_hash":"8c2993791e1a","filters":{"venue":"Biodiversity Information Science and Standards"},"cohort_total":69,"direct_labels_cover":0,"predictions_cover":69,"exported":69,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8c2993791e1a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Biodiversity+Information+Science+and+Standards"},"results":[{"id":"W2737452235","doi":"10.3897/tdwgproceedings.1.17011","title":"Canadensys and GBIF France: collaboration through the GBIF network to help launch the new Canadensys explorer","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Upload; Computer science; Database; World Wide Web","score_opus":0.021841231545076036,"score_gpt":0.25863406275418543,"score_spread":0.2367928312091094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737452235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88083905,0.00008235866,0.0005046111,0.07938652,0.00075838104,0.00069049676,0.0016086953,0.000034747303,0.036095142],"genre_scores_gemma":[0.99227744,0.00020290737,0.000044708468,0.00723648,0.00004614717,0.000006234487,0.0000128644015,0.0000010764874,0.0001721302],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817175,0.00001657366,0.00012891299,0.00015083967,0.0012506951,0.00028121387],"domain_scores_gemma":[0.99913144,0.000017659793,0.00012320044,0.0003221683,0.00022957701,0.00017595147],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011058813,0.00009572179,0.00008265121,0.00002006435,0.004664928,0.0010574448,0.000503942,0.00003924358,0.00132405],"category_scores_gemma":[0.0003274338,0.00006009407,0.0000147130195,0.0003899345,0.00080589077,0.0025897785,0.0004117551,0.0000740124,0.00015764563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020547923,0.0000024456615,0.019095244,0.0000036004478,0.0000034476923,6.4403787e-7,0.0131482985,0.00007549845,0.00003095243,0.0012809931,0.9631616,0.0031767476],"study_design_scores_gemma":[0.00019984711,0.00002874409,0.14823431,0.0000039101187,0.000006234042,0.000002935776,0.016901819,0.000056339435,0.0000921286,0.000038997892,0.8343412,0.00009347872],"about_ca_topic_score_codex":0.010036419,"about_ca_topic_score_gemma":0.015045391,"teacher_disagreement_score":0.12913907,"about_ca_system_score_codex":0.0006813859,"about_ca_system_score_gemma":0.00026831456,"threshold_uncertainty_score":0.99997956},"labels":[],"label_agreement":null},{"id":"W2739572957","doi":"10.3897/tdwgproceedings.1.19829","title":"Proposed Extension to Darwin Core for People and their Roles in the Curation of Physical and Digital Objects","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Metadata; Identifier; Computer science; Darwin (ADL); Data curation; World Wide Web; Stewardship (theology); Data science; Alliance; Knowledge management; Political science; Software engineering","score_opus":0.028207427271896696,"score_gpt":0.2703881775965952,"score_spread":0.24218075032469852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739572957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636805,0.000002286957,0.00011059052,0.0005353349,0.000014355004,0.00022830961,0.00079426955,0.0000034231753,0.0019434058],"genre_scores_gemma":[0.99985766,0.000011051666,0.000010322001,0.00010587968,0.0000018894482,0.0000014862684,0.000010705264,2.0809628e-7,7.680644e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994131,0.0000033047352,0.00006251196,0.00007853564,0.00035962625,0.00008297335],"domain_scores_gemma":[0.99969935,0.00001746769,0.000060186478,0.00009270934,0.00009084721,0.000039418494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577153,0.00004374422,0.000061595994,0.00003143695,0.00058996625,0.0002826559,0.0001229866,0.000014273736,0.000023099758],"category_scores_gemma":[0.00031142432,0.000027716726,0.000008908589,0.00009522129,0.00036887193,0.002330338,0.00015586392,0.000019075396,0.0000038908124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074816623,0.00019113884,0.4617897,0.00014340844,0.000007711246,9.1455115e-7,0.31791764,0.000028398357,0.020208294,0.0058990447,0.014971659,0.17809393],"study_design_scores_gemma":[0.0006003924,0.00021856278,0.94454914,0.000009212539,0.000003206648,0.0000026585408,0.04477242,0.0012677361,0.0017347067,0.00009364537,0.0066583343,0.00008997516],"about_ca_topic_score_codex":0.000038527753,"about_ca_topic_score_gemma":0.00012312876,"teacher_disagreement_score":0.48275945,"about_ca_system_score_codex":0.00008866773,"about_ca_system_score_gemma":0.000023996045,"threshold_uncertainty_score":0.45376033},"labels":[],"label_agreement":null},{"id":"W2742650289","doi":"10.3897/tdwgproceedings.1.19993","title":"mangal - making sense of biotic interaction data","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hierarchy; Modularity (biology); Computer science; Function (biology); Biodiversity; Modular design; Data science; Ecology; Core (optical fiber); Data presentation; Presentation (obstetrics); Biology","score_opus":0.07442395284927976,"score_gpt":0.3242268407257539,"score_spread":0.24980288787647414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742650289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363625,0.0000022610361,0.00015967248,0.00049197994,0.00018511096,0.00006904226,0.0021191512,0.00001276391,0.06059749],"genre_scores_gemma":[0.9997655,0.000027082373,0.000045802004,0.00012810966,0.0000026488274,1.3839959e-7,0.000026885387,2.196718e-7,0.000003609854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988314,0.0000057799157,0.00010088685,0.00010055978,0.0008520678,0.00010930448],"domain_scores_gemma":[0.9992731,0.0000058783407,0.00016693186,0.00037124753,0.00013590894,0.00004690372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012223871,0.00004477321,0.000055461274,0.00004896887,0.0009205414,0.00026882766,0.00040000599,0.000021568967,0.00248429],"category_scores_gemma":[0.00043759486,0.000040165523,0.00001027452,0.000105452746,0.0007038578,0.0055382745,0.00089504675,0.00003506785,0.0002021579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041063403,0.00011989154,0.49951938,0.00013417202,0.000028272705,0.000011020544,0.010781635,0.00003156797,0.0059776767,0.004171594,0.3647575,0.11405667],"study_design_scores_gemma":[0.0005356707,0.000062697836,0.64149326,0.000016195672,0.000015920079,0.000016228014,0.011552006,0.0013850423,0.0019478032,0.000012543029,0.34278837,0.00017427455],"about_ca_topic_score_codex":0.00016698978,"about_ca_topic_score_gemma":0.000056521058,"teacher_disagreement_score":0.14197388,"about_ca_system_score_codex":0.0003651165,"about_ca_system_score_gemma":0.00004092391,"threshold_uncertainty_score":0.99842757},"labels":[],"label_agreement":null},{"id":"W2743116518","doi":"10.3897/tdwgproceedings.1.20155","title":"Spatial Visualization of Publicly Accessible Species Occurrence Data","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Treasury Board of Canada Secretariat","funders":"","keywords":"Geospatial analysis; Metadata; World Wide Web; Resource (disambiguation); Geographic information system; Database; Environmental resource management; Geography; Computer science; Remote sensing; Environmental science","score_opus":0.09412242396131154,"score_gpt":0.36974006192834885,"score_spread":0.2756176379670373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743116518","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44450933,0.0000677994,0.012168858,0.004958796,0.0026238642,0.0011141808,0.01648427,0.0001899669,0.51788294],"genre_scores_gemma":[0.9995341,0.00023786878,0.0000562374,0.00007551261,0.000018967425,9.905378e-7,0.00005734021,2.4142466e-7,0.000018800309],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99681014,0.000023549877,0.00027291296,0.00012390841,0.0025596668,0.00020981571],"domain_scores_gemma":[0.9946725,0.000024953706,0.00056010316,0.000489203,0.0041585965,0.00009464405],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts","scholarly_communication"],"category_scores_codex":[0.0070064715,0.0000688708,0.00012546014,0.00034629815,0.0052052154,0.0014218105,0.0013690339,0.000046061075,0.00007549968],"category_scores_gemma":[0.003924351,0.00006367066,0.000017009646,0.0004454653,0.0027192438,0.02110678,0.0008247677,0.000040369276,0.000019464702],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039770774,0.000020694604,0.8058525,0.000100054145,0.000020642985,3.1052255e-7,0.072359465,0.0000023676628,0.000010246297,0.038440563,0.05332181,0.029831588],"study_design_scores_gemma":[0.0004315447,0.000034078494,0.24240679,0.000024137746,0.000012294101,5.351092e-7,0.037309833,0.00022402078,0.000109336455,0.000052421463,0.7192273,0.00016771539],"about_ca_topic_score_codex":0.0038878063,"about_ca_topic_score_gemma":0.001124771,"teacher_disagreement_score":0.6659055,"about_ca_system_score_codex":0.0001159758,"about_ca_system_score_gemma":0.0009893206,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W2743608128","doi":"10.3897/tdwgproceedings.1.20185","title":"Exploring the Canadian Federated Research Data Repository Service","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Timeline; Interoperability; Data management plan; General partnership; Data management; Service (business); Computer science; Information repository; Data as a service; Data curation; Metadata; World Wide Web; Data science; Knowledge management; Business; Database; Computer data storage","score_opus":0.508548555803811,"score_gpt":0.4205403188646588,"score_spread":0.08800823693915216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743608128","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35919988,0.000058338665,0.013846812,0.25095102,0.0025487286,0.0017794857,0.0030239709,0.00024546465,0.36834627],"genre_scores_gemma":[0.99834114,0.00028196097,0.00049935887,0.00078294944,0.000019151903,0.0000047267386,0.000026023017,5.0886865e-7,0.00004417471],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956385,0.000081150865,0.0001183094,0.0002665573,0.003507735,0.0003877424],"domain_scores_gemma":[0.99364525,0.0000719484,0.000107407766,0.002213991,0.0037191361,0.00024228635],"candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.021302588,0.000057649337,0.00005166484,0.00039560415,0.018728586,0.041451592,0.008981087,0.000017760327,0.0000025252791],"category_scores_gemma":[0.0041647376,0.000042731524,0.000005718574,0.00077723496,0.0007711184,0.24029304,0.0061754202,0.00021251869,0.00006370312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012728927,0.000050803486,0.023600046,0.00022121974,0.000100349615,0.00013934064,0.031798575,0.000044471086,0.0001899036,0.15663882,0.48664653,0.30044267],"study_design_scores_gemma":[0.00016794444,0.000026850883,0.056219053,0.000009877561,0.0000024591698,0.0000065516506,0.0022889788,0.009676571,0.00018220731,0.000019010311,0.93129915,0.00010133563],"about_ca_topic_score_codex":0.13365634,"about_ca_topic_score_gemma":0.05954223,"teacher_disagreement_score":0.63914126,"about_ca_system_score_codex":0.00047591256,"about_ca_system_score_gemma":0.0032472843,"threshold_uncertainty_score":0.9963808},"labels":[],"label_agreement":null},{"id":"W2744288301","doi":"10.3897/tdwgproceedings.1.20157","title":"Sydney Harbour Atlas","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Harbour; Anthropocene; Port (circuit theory); General partnership; Environmental resource management; Geography; Environmental planning; Engineering; Business; Environmental science; Computer science; Ecology","score_opus":0.02633058123079323,"score_gpt":0.30412018735515733,"score_spread":0.2777896061243641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744288301","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36381096,0.000023174889,0.00025407033,0.0080577545,0.001077167,0.0003775174,0.0006320122,0.00011931635,0.625648],"genre_scores_gemma":[0.9992662,0.00017398593,0.00006637488,0.00037521913,0.000024280685,0.0000021804253,0.0000027034034,2.9922205e-7,0.00008877578],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99703956,0.000015005224,0.00017325253,0.00008737005,0.002406571,0.00027825907],"domain_scores_gemma":[0.9962134,0.000017062222,0.00026010972,0.00023366032,0.0031101229,0.00016567392],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005742581,0.00006985578,0.000099909754,0.00026245968,0.012512152,0.0017938277,0.00056973804,0.000050947066,0.000059740465],"category_scores_gemma":[0.0024937124,0.000064099164,0.0000287001,0.0002549949,0.0026149661,0.010956364,0.0002577843,0.000060373604,0.00019128075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006444401,0.000019224733,0.28783992,0.00008010297,0.00004259572,0.0000027062024,0.3379899,0.0000039814036,0.000013734477,0.14375553,0.19073276,0.039455116],"study_design_scores_gemma":[0.00026574664,0.000016642198,0.06609407,0.000008639781,0.000004937306,8.210041e-7,0.031876195,0.000016353566,0.000021336069,0.00007859121,0.901507,0.00010965693],"about_ca_topic_score_codex":0.0017200385,"about_ca_topic_score_gemma":0.00027213272,"teacher_disagreement_score":0.71077424,"about_ca_system_score_codex":0.0002577768,"about_ca_system_score_gemma":0.0008308822,"threshold_uncertainty_score":0.9992424},"labels":[],"label_agreement":null},{"id":"W2745316183","doi":"10.3897/tdwgproceedings.1.20290","title":"Living Atlases Community","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Personalization; Architecture; World Wide Web; Computer science; Business; Library science; Geography; Economic growth","score_opus":0.022592799805185318,"score_gpt":0.268219369059578,"score_spread":0.2456265692543927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745316183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912365,0.00003398907,0.0000800049,0.00012189528,0.000091688744,0.000046336663,0.0003271827,0.0000020902778,0.008060282],"genre_scores_gemma":[0.9994789,0.00020606327,0.00007808709,0.00021099934,0.000010789972,6.0810424e-7,0.0000048666757,3.099017e-7,0.000009401276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994428,0.0000119830465,0.00006396795,0.000060726317,0.00031305326,0.0001074315],"domain_scores_gemma":[0.99896085,0.0000062397066,0.00007421133,0.00026457928,0.00064160104,0.000052529635],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013244417,0.000050301514,0.00004859322,0.00003696156,0.0030450097,0.00027806297,0.00030849886,0.000026507456,0.0000042144216],"category_scores_gemma":[0.00073237857,0.000045932546,0.000015829133,0.000028871627,0.00063200167,0.00002846826,0.0005795013,0.00003815181,0.0000060462476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001840572,0.000085346495,0.73743284,0.00009951417,0.00009852724,0.0000012165365,0.015152327,0.000040215094,0.090144075,0.0006945676,0.06631833,0.08974901],"study_design_scores_gemma":[0.00031459174,0.00020363988,0.63693863,0.000008517792,0.000009481805,0.0000048007605,0.003557147,0.000026417303,0.007919587,0.000019069666,0.35081705,0.00018104559],"about_ca_topic_score_codex":0.000109109715,"about_ca_topic_score_gemma":0.00003558539,"teacher_disagreement_score":0.28449872,"about_ca_system_score_codex":0.00002595833,"about_ca_system_score_gemma":0.00017802835,"threshold_uncertainty_score":0.99825287},"labels":[],"label_agreement":null},{"id":"W2746452478","doi":"10.3897/tdwgproceedings.1.20405","title":"Cookbooks and Curriculum","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Custodians; Data sharing; Curriculum; Government (linguistics); Metadata; Library science; Environmental resource management; Engineering; Geography; World Wide Web; Computer science; Political science; Environmental science; Medicine","score_opus":0.019431781239436438,"score_gpt":0.2987186350674599,"score_spread":0.27928685382802343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746452478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6297474,0.000034543857,0.00013918616,0.0027198526,0.00046071067,0.00029662336,0.0002792842,0.00006745095,0.366255],"genre_scores_gemma":[0.9994008,0.0002572219,0.00005640924,0.00022970613,0.000012636282,0.0000015774489,0.0000012838248,2.0537901e-7,0.00004018938],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980727,0.000011263088,0.0001310018,0.00007559881,0.0015080648,0.00020139274],"domain_scores_gemma":[0.9974489,0.000011994989,0.00018617483,0.0001451946,0.002077082,0.00013065223],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0040532863,0.00005790428,0.00008376095,0.00019331151,0.009972126,0.0013603393,0.00028728961,0.000039566745,0.000018094066],"category_scores_gemma":[0.0012432641,0.000051909155,0.000014565643,0.00013810972,0.0029783736,0.0073586223,0.00023258058,0.000045675006,0.00003411265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022045379,0.000011385368,0.5450124,0.00006423265,0.000022352251,0.0000016381983,0.23430783,8.5088107e-7,0.0000047820895,0.12280309,0.040193707,0.057555698],"study_design_scores_gemma":[0.00039627813,0.00002685432,0.085541844,0.000011577354,0.000007275191,0.0000026565708,0.06589053,0.000039827304,0.000012587074,0.00012501315,0.84779817,0.00014739057],"about_ca_topic_score_codex":0.001312598,"about_ca_topic_score_gemma":0.0001854167,"teacher_disagreement_score":0.80760443,"about_ca_system_score_codex":0.00012317653,"about_ca_system_score_gemma":0.00036696266,"threshold_uncertainty_score":0.99973494},"labels":[],"label_agreement":null},{"id":"W2746538584","doi":"10.3897/tdwgproceedings.1.20380","title":"Using YesWorkflow hybrid queries to reveal data lineage from data curation activities","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Workflow; Computer science; Scripting language; Metadata; Python (programming language); Database; Annotation; World Wide Web; Information retrieval; Programming language","score_opus":0.3728313323745507,"score_gpt":0.4466233665384567,"score_spread":0.073792034163906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746538584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7908955,0.000015356123,0.14690006,0.002298778,0.002153478,0.00028985308,0.05426662,0.00005830649,0.0031220457],"genre_scores_gemma":[0.9871131,0.000017010301,0.011344336,0.00058759877,0.00008451873,4.2247055e-7,0.0007855191,0.0000010192072,0.00006646136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943637,0.000040806317,0.00037082972,0.0006514338,0.0043371185,0.00023611289],"domain_scores_gemma":[0.99365544,0.00014550952,0.0003972743,0.004443221,0.0011824097,0.00017615763],"candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.017122094,0.00010679141,0.00016272672,0.00038962744,0.003853955,0.009045216,0.0059516444,0.000024314035,0.00006780658],"category_scores_gemma":[0.014347151,0.00008722829,0.000014831187,0.00045164482,0.000740952,0.03504067,0.009612289,0.00007078123,0.0001179551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009498465,0.000016747917,0.008801249,0.000007146535,0.000012146255,0.000004000313,0.0032661918,0.00017384518,0.000102423415,0.00021020471,0.6991105,0.2882006],"study_design_scores_gemma":[0.00035100995,0.000032639,0.016975636,0.000027834782,0.00002074636,0.0000028557638,0.0065730587,0.12546358,0.0003985157,0.00016117922,0.84973335,0.00025956656],"about_ca_topic_score_codex":0.00068367575,"about_ca_topic_score_gemma":0.00012227922,"teacher_disagreement_score":0.287941,"about_ca_system_score_codex":0.00013348981,"about_ca_system_score_gemma":0.0005945378,"threshold_uncertainty_score":0.9994266},"labels":[],"label_agreement":null},{"id":"W2747006223","doi":"10.3897/tdwgproceedings.1.20486","title":"Darwin Cloud: Mapping real-world data to Darwin Core","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Darwin (ADL); Computer science; Cloud computing; Workflow; Core (optical fiber); Data science; Set (abstract data type); Data mapping; World Wide Web; Database; Software engineering; Programming language","score_opus":0.11242383552824643,"score_gpt":0.35997275007404245,"score_spread":0.24754891454579603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747006223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717917,0.000024286417,0.0020403469,0.0024974616,0.0004988765,0.00017205764,0.0034081494,0.00003519684,0.019531958],"genre_scores_gemma":[0.9962377,0.00015847135,0.0022042033,0.0010611373,0.00007211018,0.0000012229543,0.00020067027,0.0000010049602,0.00006346286],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870455,0.00000811245,0.00013404482,0.00022800393,0.00070884504,0.00021644759],"domain_scores_gemma":[0.99845666,0.0000065444556,0.00012285264,0.00075673667,0.0004936492,0.00016357141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026554,0.00008418014,0.00010150125,0.00013361745,0.0012483165,0.00036597304,0.001068433,0.000049291833,0.000018592154],"category_scores_gemma":[0.0015177089,0.00007316656,0.000015636562,0.00016775115,0.0010166261,0.00012833222,0.0014157527,0.000055937755,0.000028051598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026085245,0.000019981786,0.04528893,0.000041745418,0.000027929733,0.000004116735,0.0018874613,0.0000032518362,0.00577359,0.00018035214,0.5584561,0.38805568],"study_design_scores_gemma":[0.00032142893,0.0001135049,0.10750491,0.000012903596,0.000005555032,0.0000026493067,0.0013332657,0.00008584659,0.0012083256,0.0000047039593,0.8892595,0.00014738902],"about_ca_topic_score_codex":0.0001649458,"about_ca_topic_score_gemma":0.00012114662,"teacher_disagreement_score":0.38790828,"about_ca_system_score_codex":0.00005767396,"about_ca_system_score_gemma":0.0004416335,"threshold_uncertainty_score":0.96011674},"labels":[],"label_agreement":null},{"id":"W2747267044","doi":"10.3897/tdwgproceedings.1.20432","title":"The developing Canadian Integrated Ocean Observing System (CIOOS)","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean observations; General partnership; Government (linguistics); Ocean science; Environmental resource management; Business; Marine conservation; Variety (cybernetics); Oceanography; Geography; Environmental science; Computer science; Meteorology; Finance","score_opus":0.011196726161305771,"score_gpt":0.20639334243001103,"score_spread":0.19519661626870527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747267044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972848,0.0000061644446,0.0017406811,0.001254384,0.00025626025,0.00014518964,0.000109451044,0.000029349436,0.023610542],"genre_scores_gemma":[0.9987404,0.000053971067,0.0008690715,0.00029587455,0.0000032930839,5.412791e-7,0.0000026389405,6.7611626e-7,0.0000335461],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986332,0.000008368365,0.00011622982,0.000109165434,0.00086267845,0.00027032255],"domain_scores_gemma":[0.9993747,0.000008228438,0.000111315676,0.0002462698,0.00007700509,0.0001824672],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014974338,0.000079134996,0.000059308604,0.000014544096,0.0070038275,0.0007626224,0.0006469937,0.00003480728,0.00003175632],"category_scores_gemma":[0.00018889086,0.000056233697,0.000014422724,0.00013595028,0.0012860233,0.0028557596,0.00040559002,0.00006565056,0.00010057044],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044414024,0.0000052462196,0.8384656,0.00002645659,0.000015982174,0.000008961479,0.0069529843,0.0017244966,0.00003148647,0.002817057,0.021104325,0.12880304],"study_design_scores_gemma":[0.00022958743,0.000024142042,0.47777984,0.000015456546,0.0000070094056,0.000009889905,0.013284612,0.012086333,0.0000307818,0.000014539503,0.49631026,0.00020755274],"about_ca_topic_score_codex":0.0299663,"about_ca_topic_score_gemma":0.007097356,"teacher_disagreement_score":0.47520593,"about_ca_system_score_codex":0.0025488266,"about_ca_system_score_gemma":0.00029217123,"threshold_uncertainty_score":0.9942889},"labels":[],"label_agreement":null},{"id":"W2747317713","doi":"10.3897/tdwgproceedings.1.20321","title":"Occurrences: Data resources and Biocache-hub","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Oralys (Canada)","funders":"","keywords":"Computer science; Data mining; Atlas (anatomy); Interface (matter); Resource (disambiguation); Database; Simple (philosophy); Information retrieval; Data science; Operating system; Computer network","score_opus":0.06419734012507189,"score_gpt":0.2961048077638634,"score_spread":0.2319074676387915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747317713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94950205,0.000019738913,0.00003863394,0.0011693109,0.00010387169,0.00007601528,0.0036210455,0.000020703523,0.045448624],"genre_scores_gemma":[0.99941665,0.0001708832,0.000034648114,0.0003273132,0.0000042368374,4.71085e-7,0.00003678371,2.548447e-7,0.000008731431],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857885,0.000006087496,0.00008941555,0.00016605214,0.0009988773,0.0001606914],"domain_scores_gemma":[0.99923915,0.0000075954163,0.00010872954,0.0004131674,0.00010464949,0.0001266907],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001590193,0.000063266016,0.00006196817,0.000042479594,0.0022084946,0.00088059524,0.0007389897,0.000028730123,0.0018716609],"category_scores_gemma":[0.0005398282,0.000053003805,0.0000071657905,0.000118845004,0.001704395,0.005894949,0.0015355073,0.00004226844,0.00023925446],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006927059,0.000028879595,0.5631726,0.00003386808,0.0000063664634,0.0000024754593,0.009529712,8.736463e-7,0.00029908202,0.00096185284,0.35147396,0.074421085],"study_design_scores_gemma":[0.00024700532,0.00002672939,0.34201416,0.0000027759013,0.0000053614363,0.0000034131383,0.005490331,0.00018924725,0.000097724784,0.000012438453,0.65181077,0.00010007738],"about_ca_topic_score_codex":0.00029107518,"about_ca_topic_score_gemma":0.000090030175,"teacher_disagreement_score":0.30033678,"about_ca_system_score_codex":0.00020458868,"about_ca_system_score_gemma":0.00004675502,"threshold_uncertainty_score":0.9990905},"labels":[],"label_agreement":null},{"id":"W2747392928","doi":"10.3897/tdwgproceedings.1.20608","title":"SeqDB: Biological Collection Management with Integrated DNA Sequence Tracking ","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Barcode; Metadata; Workflow; Context (archaeology); Computer science; Metagenomics; DNA sequencing; Identification (biology); World Wide Web; Information retrieval; Database; Data science; Biology; Archaeology; Geography; Ecology; DNA","score_opus":0.03140464749012388,"score_gpt":0.26593753209434995,"score_spread":0.23453288460422606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747392928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993663,0.000018520512,0.00065231335,0.00018278873,0.00007642851,0.00012446758,0.00025252902,0.0000041874373,0.0050257645],"genre_scores_gemma":[0.9989876,0.0003892959,0.00044366298,0.00014066994,0.000007095378,0.0000022779104,0.000013850076,4.5525934e-7,0.000015105142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999321,0.0000066281214,0.00007694926,0.00013442908,0.00032960245,0.00013142564],"domain_scores_gemma":[0.9990208,0.0000021089395,0.00008709296,0.00016638293,0.0006739551,0.00004964283],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00060660864,0.00007143224,0.00006149347,0.000058868747,0.0014156551,0.00026225948,0.00021009232,0.000036696736,0.0000039993374],"category_scores_gemma":[0.00012712894,0.00005291852,0.000013768749,0.00008666471,0.00060151273,0.000032605218,0.00018497258,0.000028697177,0.0000032732762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002181643,0.00011656666,0.50171393,0.00015068201,0.00038927607,0.000021573132,0.0070659244,0.00017940326,0.22600344,0.0021190506,0.033122763,0.22693573],"study_design_scores_gemma":[0.001694999,0.0011155687,0.47386187,0.000033753582,0.00003765966,0.000037760496,0.0064588552,0.00018981962,0.05184972,0.00003940285,0.46414125,0.0005393329],"about_ca_topic_score_codex":0.000026263755,"about_ca_topic_score_gemma":0.000017000793,"teacher_disagreement_score":0.4310185,"about_ca_system_score_codex":0.00006139081,"about_ca_system_score_gemma":0.00015344733,"threshold_uncertainty_score":0.99988437},"labels":[],"label_agreement":null},{"id":"W2749064024","doi":"10.3897/tdwgproceedings.1.20587","title":"Phenological sensitivity to temperature at broad scales: opportunities and challenges of natural history collections","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phenology; Climate change; Ecology; Butterfly; Global warming; Natural history; Variation (astronomy); Biology","score_opus":0.09617954617118837,"score_gpt":0.2321434550495281,"score_spread":0.13596390887833973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749064024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99013394,0.000541888,1.2804905e-7,0.003635574,0.00007182709,0.0000750691,0.00093661284,0.000016414144,0.0045885746],"genre_scores_gemma":[0.9972252,0.002498301,0.000011261904,0.00018313818,0.000011917933,7.2284297e-7,0.000004288784,4.533521e-8,0.000065105945],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992164,0.0000133068415,0.00008104765,0.000104948704,0.00045890347,0.00012542408],"domain_scores_gemma":[0.99924463,0.000034547826,0.000076875076,0.000026289348,0.0005323051,0.000085380874],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006731255,0.00006752312,0.00011337653,0.000034169334,0.0021867633,0.00012264604,0.00011695038,0.000040299867,0.0000179175],"category_scores_gemma":[0.00030927535,0.000029805895,0.000018336432,0.00007146992,0.0008292582,0.0009686948,0.00030896373,0.00004331503,0.0000027184678],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012948303,0.00014068832,0.079965904,0.00020049023,0.00007381661,0.000029957295,0.022609511,0.0000017311686,0.18721034,0.0062704426,0.23483281,0.46736947],"study_design_scores_gemma":[0.00011512689,0.00017055644,0.66301686,0.00001186988,0.000005096028,0.000012079371,0.005616355,0.000011006576,0.00057441945,0.000005903101,0.33034715,0.00011359466],"about_ca_topic_score_codex":0.00011017695,"about_ca_topic_score_gemma":0.0012439546,"teacher_disagreement_score":0.5830509,"about_ca_system_score_codex":0.00014445552,"about_ca_system_score_gemma":0.000037244008,"threshold_uncertainty_score":0.99911225},"labels":[],"label_agreement":null},{"id":"W2749169945","doi":"10.3897/tdwgproceedings.1.20637","title":"Using MIxS: An Implementation Report from Two Metagenomic Information Systems","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Metadata; Metagenomics; Workflow; Computer science; Ontology; Data science; Human Microbiome Project; Interoperability; Sample (material); Information retrieval; Data mining; World Wide Web; Database; Biology","score_opus":0.05112376328695886,"score_gpt":0.36934142065704473,"score_spread":0.3182176573700859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749169945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99037826,0.00004000728,0.007154339,0.00008846861,0.00033451113,0.00011866836,0.0011580258,0.000014673783,0.00071304373],"genre_scores_gemma":[0.99810284,0.00004246099,0.0013084474,0.00012614802,0.00003688756,0.0000012064959,0.00037883272,5.314222e-7,0.0000026180198],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889404,0.00001552449,0.00020747163,0.00011607363,0.0006235024,0.00014337104],"domain_scores_gemma":[0.9985791,0.0000031303975,0.00030124094,0.00030244378,0.0007189712,0.000095142896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015394279,0.000074187,0.00008411905,0.0000907642,0.0011204769,0.00072052714,0.00027600935,0.00005868261,0.000008663761],"category_scores_gemma":[0.00038288362,0.000066157074,0.000019710524,0.000052889798,0.0004319508,0.0005785046,0.00018319157,0.00003569824,0.0000077806635],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063534005,0.00004799268,0.20843595,0.0001273057,0.00022600622,0.000019864903,0.01382178,0.0004704198,0.061798397,0.0005780989,0.03388334,0.6799555],"study_design_scores_gemma":[0.0023416325,0.00030784946,0.07371393,0.000016468224,0.000065549306,0.00006622614,0.018655747,0.0031770156,0.014989077,0.000024115918,0.8861807,0.00046170852],"about_ca_topic_score_codex":0.0011866102,"about_ca_topic_score_gemma":0.000037237398,"teacher_disagreement_score":0.85229737,"about_ca_system_score_codex":0.00008918663,"about_ca_system_score_gemma":0.00043895797,"threshold_uncertainty_score":0.86179155},"labels":[],"label_agreement":null},{"id":"W2803183763","doi":"10.3897/biss.2.25647","title":"Management of Molecular Data in DINA with SeqDB","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Workflow; Metadata; Computer science; Data science; Data management; Task (project management); Agile software development; Suite; Software; Set (abstract data type); World Wide Web; Engineering management; Database; Software engineering; Systems engineering; Engineering","score_opus":0.014408581442599697,"score_gpt":0.2533114538092071,"score_spread":0.2389028723666074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803183763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945272,0.000052632953,0.0005830345,0.00006448977,0.00002494847,0.00007507335,0.00041634333,8.192321e-7,0.0042554657],"genre_scores_gemma":[0.9989692,0.00017378364,0.0007559098,0.00007491528,0.0000030520446,4.5705622e-7,0.000019916773,3.1234615e-7,0.0000024331762],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993859,0.000003928769,0.00007511235,0.000104270286,0.00034262196,0.000088190354],"domain_scores_gemma":[0.99931276,9.2152175e-7,0.00003952292,0.0002103801,0.00041074704,0.000025642235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000604415,0.000042098975,0.000046991874,0.000059388633,0.000098004355,0.00002186018,0.00021833241,0.000016194663,0.0000023563066],"category_scores_gemma":[0.000020282903,0.00003493358,0.000004854025,0.00017448171,0.00043374253,0.000015663472,0.00038499676,0.0000118549215,0.0000015368216],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025640142,0.00023976047,0.5135438,0.0006563311,0.00050909247,0.000029008379,0.013546696,0.00020831218,0.23015903,0.004928893,0.022243846,0.2113712],"study_design_scores_gemma":[0.0034228014,0.0017784741,0.36137936,0.00006533374,0.00006182285,0.000014535308,0.010427366,0.00032288916,0.1650221,0.0000592448,0.45686293,0.00058315095],"about_ca_topic_score_codex":0.000015923355,"about_ca_topic_score_gemma":0.000011665198,"teacher_disagreement_score":0.43461907,"about_ca_system_score_codex":0.000016673184,"about_ca_system_score_gemma":0.000104441286,"threshold_uncertainty_score":0.15981424},"labels":[],"label_agreement":null},{"id":"W2804495494","doi":"10.3897/biss.2.24930","title":"Documenting the occurrence through space & time of aquatic non-indigenous fish, mollusks, algae, & plants threatening North America's Great Lakes utilizing herbaria & zoological museum specimens","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Indigenous; Geography; Fishery; Algae; Ecology; Biology","score_opus":0.025241125347669736,"score_gpt":0.2572026693154186,"score_spread":0.23196154396774885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804495494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97714555,0.000018191253,0.006750375,0.00104752,0.0002677408,0.00056948146,0.00087349693,0.00007572497,0.013251928],"genre_scores_gemma":[0.9862525,0.0007917203,0.008600628,0.002823758,0.00006142653,0.000021381145,0.00043293307,0.0000067501824,0.0010088935],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966672,0.000078951954,0.0004726126,0.0004420154,0.0016126367,0.0007266009],"domain_scores_gemma":[0.99851054,0.000143429,0.0004921204,0.00049428426,0.00022518978,0.00013444932],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0018582876,0.00030919354,0.00037612085,0.00015070521,0.0031460866,0.00027396987,0.00078412367,0.00010176227,0.0014331973],"category_scores_gemma":[0.0005786915,0.00023181715,0.00007894386,0.00097181625,0.0035782792,0.002878191,0.0011914294,0.00021661152,0.003445543],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002715706,0.000115553994,0.580217,0.000070161004,0.00013223235,0.0000031517893,0.096045844,0.00030201883,0.00033527013,0.00003834093,0.31892705,0.0035418237],"study_design_scores_gemma":[0.00082838634,0.00011916407,0.18028271,0.00004499838,0.000108569664,0.000017774984,0.0028559114,0.000119699704,0.00008934775,0.00014357698,0.814793,0.00059685763],"about_ca_topic_score_codex":0.0008799292,"about_ca_topic_score_gemma":0.012734252,"teacher_disagreement_score":0.49586594,"about_ca_system_score_codex":0.0003694205,"about_ca_system_score_gemma":0.00011576913,"threshold_uncertainty_score":0.99947965},"labels":[],"label_agreement":null},{"id":"W2804979352","doi":"10.3897/biss.2.25842","title":"Leveraging Industry Visualization Tools for Biodiversity Science","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Visualization; Data science; Computer science; Data visualization; Software; Big data; Information visualization; Pipeline (software); Software visualization; World Wide Web; Software development; Data mining","score_opus":0.04958530992976555,"score_gpt":0.29504837905355236,"score_spread":0.2454630691237868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804979352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756567,0.0000020822463,0.0021309254,0.0005242951,0.00024866173,0.00023400673,0.0011360364,0.000054031363,0.020013291],"genre_scores_gemma":[0.998558,0.000014416653,0.000077601515,0.0013002953,0.000010533039,0.0000020790742,0.000029730778,4.24969e-7,0.0000069284806],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997663,0.000008978174,0.00013535225,0.00021662012,0.0016477734,0.00032825902],"domain_scores_gemma":[0.99859226,0.000020113985,0.000099355835,0.00013748938,0.0009659142,0.00018488594],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0029624677,0.0000895084,0.000076916804,0.00017695973,0.0031753378,0.0007118246,0.00037068568,0.00006941053,0.003873169],"category_scores_gemma":[0.0010838762,0.000086009015,0.000021476406,0.0013546322,0.0028353333,0.008249285,0.000417563,0.00007443691,0.0004888324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041410897,0.00013511578,0.3124177,0.00007064618,0.000016684578,0.0000016062656,0.03721026,0.000026390642,0.012089986,0.008279779,0.55751914,0.0718186],"study_design_scores_gemma":[0.0012363526,0.00028467248,0.24926622,0.000010235821,0.000019280229,0.0000074740924,0.034986876,0.0009004564,0.020368112,0.000046036246,0.6924428,0.00043152572],"about_ca_topic_score_codex":0.00007731757,"about_ca_topic_score_gemma":0.000012876447,"teacher_disagreement_score":0.13492364,"about_ca_system_score_codex":0.0016915277,"about_ca_system_score_gemma":0.00026301446,"threshold_uncertainty_score":0.9998784},"labels":[],"label_agreement":null},{"id":"W2808572429","doi":"10.3897/biss.2.26305","title":"Developing a GIS of Hazards for Canadian Cultural Institutions","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Natural hazard; Geography; Environmental resource management; Cultural heritage; Population; Mandate; Environmental planning; Cartography; Meteorology; Environmental science; Political science; Archaeology","score_opus":0.0629818879246742,"score_gpt":0.33987875384430954,"score_spread":0.27689686591963536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808572429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65813965,0.000035268044,0.010551542,0.009538575,0.0015885301,0.0013562315,0.004858929,0.0001072295,0.31382403],"genre_scores_gemma":[0.9986208,0.00004238967,0.0008958364,0.00039314642,0.000020932945,0.000004371816,0.000009730504,2.1522476e-7,0.00001257562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984932,0.000009458284,0.00019154878,0.00006081249,0.0010025122,0.00024249985],"domain_scores_gemma":[0.99193966,0.000016645987,0.000113526046,0.00006292504,0.007733369,0.00013386855],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003045914,0.000051873572,0.00008662991,0.00046634383,0.00443029,0.00019570132,0.00019856355,0.000043507243,0.000018272278],"category_scores_gemma":[0.0012468066,0.000046898153,0.000024671876,0.000962284,0.0025614612,0.0038721992,0.00004873077,0.00002422931,0.000017463675],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003265307,0.000004811654,0.020044522,0.00007666114,0.000031013606,1.3887505e-7,0.42432502,0.0000034816492,0.00001007413,0.4899566,0.05109832,0.014416714],"study_design_scores_gemma":[0.00019745172,0.000033188848,0.0056862542,0.00001206594,0.0000051291136,6.0534717e-7,0.07113844,0.000022585196,0.00007195169,0.000073859985,0.92267793,0.000080505444],"about_ca_topic_score_codex":0.04689572,"about_ca_topic_score_gemma":0.07335512,"teacher_disagreement_score":0.87157965,"about_ca_system_score_codex":0.0006215403,"about_ca_system_score_gemma":0.005752882,"threshold_uncertainty_score":0.9998836},"labels":[],"label_agreement":null},{"id":"W2810125787","doi":"10.3897/biss.2.26273","title":"Building the Beaty: Creating, Maintaining, and Growing a Publicly Accessible Biodiversity Museum Collection in the Pacific Ring of Fire","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Digitization; Biodiversity; Archaeology; Geography; Library science; Environmental resource management; Computer science; Ecology; Telecommunications; Environmental science","score_opus":0.02290290491575113,"score_gpt":0.2592301128120939,"score_spread":0.23632720789634276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810125787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98403406,0.000007389663,0.0000958948,0.0013678436,0.00005826498,0.00013921788,0.00015826823,0.000013297114,0.014125753],"genre_scores_gemma":[0.9995274,0.000051390994,0.000046320667,0.0003626778,0.000003948704,0.000001524972,0.000004214838,2.9012966e-7,0.0000022421561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986192,0.000030994095,0.00013733846,0.00012535421,0.0008948349,0.00019227907],"domain_scores_gemma":[0.9995168,0.000034927863,0.00011630196,0.000117510805,0.0001658781,0.00004861954],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028436142,0.0000703293,0.00007295572,0.000098038334,0.0017441922,0.00034796534,0.00029639082,0.000033581415,0.00058891065],"category_scores_gemma":[0.00029417008,0.00004665919,0.00001750687,0.0011132159,0.0011197398,0.0030689386,0.00033531926,0.00007257871,0.000018863253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008403066,0.000030149953,0.91495293,0.000021516096,0.000006822831,0.00000107307,0.048431396,0.000008534692,0.0005220573,0.0018659725,0.026697347,0.0073781833],"study_design_scores_gemma":[0.0006662936,0.00017335874,0.76430947,0.000017646107,0.000014957727,0.000012806023,0.17115258,0.0012238031,0.0013832967,0.000043184264,0.06083597,0.00016661748],"about_ca_topic_score_codex":0.001007983,"about_ca_topic_score_gemma":0.00019743321,"teacher_disagreement_score":0.15064342,"about_ca_system_score_codex":0.0004566711,"about_ca_system_score_gemma":0.00005522008,"threshold_uncertainty_score":0.9995554},"labels":[],"label_agreement":null},{"id":"W2811159042","doi":"10.3897/biss.2.26145","title":"Building Next-Generation Collections: Natural History Specimens, Just One Click Away!","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Usability; World Wide Web; Computer science; Digital curation; Digitization; Special collections; Library science; Telecommunications","score_opus":0.07222009102828959,"score_gpt":0.26450336102435107,"score_spread":0.1922832699960615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811159042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90666926,0.000049793194,0.00054335105,0.0007147909,0.0010451318,0.0002160722,0.00040358532,0.0000794249,0.09027859],"genre_scores_gemma":[0.99757487,0.0001222645,0.00041674642,0.0016050392,0.00006073066,0.000003011382,0.00003873702,0.0000010048368,0.00017761008],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981526,0.000013574639,0.00015822027,0.00016466153,0.0012851335,0.00022580089],"domain_scores_gemma":[0.99924034,0.000007448923,0.00009587169,0.00012603789,0.00041114073,0.00011915178],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010155684,0.00008666381,0.000079259975,0.00014583132,0.0014579816,0.00027456603,0.0001809327,0.000043105625,0.012852002],"category_scores_gemma":[0.0002210044,0.0000858885,0.000023383596,0.0007289523,0.001028593,0.0038429953,0.0001916807,0.00006849096,0.000701422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049224007,0.000031927742,0.001921335,0.000007411241,0.000005632935,4.6156237e-7,0.003129901,0.000003395858,0.02281511,0.0023241215,0.9648308,0.0048806886],"study_design_scores_gemma":[0.00035944453,0.00009511418,0.013613141,0.0000032540268,0.000009585674,0.0000051982643,0.0030567318,0.0007759557,0.0040635555,0.000006995008,0.97784775,0.00016324242],"about_ca_topic_score_codex":0.00016862342,"about_ca_topic_score_gemma":0.00014522296,"teacher_disagreement_score":0.09090559,"about_ca_system_score_codex":0.005008969,"about_ca_system_score_gemma":0.00015212089,"threshold_uncertainty_score":0.999842},"labels":[],"label_agreement":null},{"id":"W2886295809","doi":"10.3897/biss.2.25727","title":"Nurturing a sustainable Open Tree of Life","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Phylogenetic tree; Tree of life (biology); Tree (set theory); Taxon; Taxonomy (biology); Identifier; Tree rearrangement; Computer science; Data science; Ecology; Biology; Mathematics","score_opus":0.022731402845753552,"score_gpt":0.2596112454375781,"score_spread":0.2368798425918245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886295809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73569685,0.0000026179532,0.00010132264,0.0003388469,0.000041550924,0.00012300904,0.00023147392,0.000011269878,0.26345304],"genre_scores_gemma":[0.9994271,0.000014807508,0.00004402867,0.00046931533,0.0000031096806,0.0000010041352,0.0000051230218,2.582378e-7,0.000035277713],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987464,0.0000062407917,0.00011387284,0.000086302156,0.0008684463,0.00017875757],"domain_scores_gemma":[0.9992803,0.000005483116,0.00007968876,0.00010660288,0.0004131904,0.00011473726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013519843,0.00004737638,0.00006979041,0.00006296184,0.0006066462,0.00021057778,0.00037449336,0.00002171174,0.00808734],"category_scores_gemma":[0.00036631184,0.000041576943,0.000011788247,0.0005486543,0.00092979934,0.0037049619,0.0007615695,0.000023736586,0.00028041625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055137865,0.00011735474,0.21627526,0.0000946004,0.000016702843,0.0000024597628,0.0278422,0.000007924748,0.0019593276,0.027075361,0.7013573,0.02470013],"study_design_scores_gemma":[0.0007876071,0.00019215218,0.22036417,0.000004168057,0.000005831881,0.0000019200916,0.03418254,0.0000939091,0.0040214807,0.000048567796,0.74014974,0.0001479298],"about_ca_topic_score_codex":0.000511649,"about_ca_topic_score_gemma":0.00006323491,"teacher_disagreement_score":0.2637302,"about_ca_system_score_codex":0.00057701994,"about_ca_system_score_gemma":0.00015121464,"threshold_uncertainty_score":0.9928194},"labels":[],"label_agreement":null},{"id":"W2949617748","doi":"10.3897/biss.3.36979","title":"Reaching an Established but Growing Network: Use-case from Canadensys","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); General partnership; Node (physics); Publication; Publishing; Order (exchange); Library science; Political science; Public relations; Computer science; Business; Geography; Engineering","score_opus":0.02571530793295087,"score_gpt":0.23205259858119556,"score_spread":0.2063372906482447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949617748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855737,0.000003278886,0.00010275695,0.00015585904,0.00022339958,0.00012878886,0.0016071002,0.00004301757,0.012162092],"genre_scores_gemma":[0.9986731,0.000013388892,0.00010876358,0.0010955461,0.000008856122,7.071423e-7,0.000085517844,7.452786e-7,0.000013405919],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981865,0.000020960391,0.00014339286,0.00018231932,0.0011723774,0.0002944062],"domain_scores_gemma":[0.9993384,0.000022918295,0.00008094754,0.00019311288,0.00015234218,0.0002123119],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013258513,0.00009015249,0.00009308983,0.000057629466,0.0008751055,0.0006279364,0.00021000272,0.0000464868,0.0070248474],"category_scores_gemma":[0.00015705983,0.000084390784,0.000019756013,0.00043496655,0.00023281,0.012945031,0.0002685264,0.00008218339,0.00044495324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019898181,0.00005055368,0.8127834,0.00002224728,0.000018763323,0.000095328265,0.01785382,0.00087096094,0.002919627,0.0020164694,0.14278197,0.020387886],"study_design_scores_gemma":[0.001379121,0.0001556242,0.44167373,0.000016205562,0.000027875227,0.00012495782,0.067641646,0.004014397,0.0005133909,0.00003660238,0.4837869,0.00062954664],"about_ca_topic_score_codex":0.011961408,"about_ca_topic_score_gemma":0.001751731,"teacher_disagreement_score":0.37110966,"about_ca_system_score_codex":0.00143126,"about_ca_system_score_gemma":0.00009477851,"threshold_uncertainty_score":0.994618},"labels":[],"label_agreement":null},{"id":"W2950453293","doi":"10.3897/biss.3.37333","title":"BIOSCAN - Revealing Eukaryote Diversity, Dynamics, and Interactions","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Barcode; DNA barcoding; Biodiversity; Biology; Ecology; Species diversity; Global biodiversity; Environmental resource management; Library science; Computer science","score_opus":0.008909633728241387,"score_gpt":0.22032742119559445,"score_spread":0.21141778746735307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950453293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843454,0.000009552755,0.00009125219,0.0006486374,0.00018166009,0.00018512686,0.0007016829,0.000032911877,0.013803808],"genre_scores_gemma":[0.99846876,0.00017957894,0.0006583456,0.0005682192,0.0000029663902,4.402271e-7,0.000015570227,6.583955e-7,0.00010547842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826175,0.000012120479,0.00011769891,0.00021114448,0.0011810021,0.00021630214],"domain_scores_gemma":[0.9995514,0.000019869494,0.00008516671,0.00013715524,0.000074741736,0.00013164115],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00086527184,0.00010744363,0.000105353254,0.0001350712,0.0015835047,0.000142258,0.0002441554,0.000032953194,0.0005296539],"category_scores_gemma":[0.00007888484,0.00010578785,0.000021619951,0.00033924633,0.0011369267,0.003961062,0.0026682292,0.000089645946,0.00059486064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016869313,0.0000074264153,0.98512685,0.000009033396,0.0000057397565,5.684829e-7,0.0020813155,0.000017237195,0.00009823918,0.00006377892,0.006865969,0.0057069995],"study_design_scores_gemma":[0.0004886221,0.000093297705,0.9567359,0.000010203693,0.000019557017,0.000009010218,0.0055015087,0.0010459597,0.0002355268,0.000026496476,0.035585083,0.00024880978],"about_ca_topic_score_codex":0.00048042514,"about_ca_topic_score_gemma":0.00006843989,"teacher_disagreement_score":0.028719116,"about_ca_system_score_codex":0.0010792149,"about_ca_system_score_gemma":0.000017577615,"threshold_uncertainty_score":0.9997163},"labels":[],"label_agreement":null},{"id":"W2950653319","doi":"10.3897/biss.3.35074","title":"Progress in Authority Management of People Names for Collections","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Identifier; Computer science; World Wide Web; Publication; Data science; Herbarium; Information retrieval; Ecology; Political science","score_opus":0.008676910931154696,"score_gpt":0.2342787830022503,"score_spread":0.2256018720710956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950653319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916147,0.000011476966,0.00008804998,0.0001556121,0.0000901483,0.00051005103,0.0005823055,0.000010966789,0.0069367117],"genre_scores_gemma":[0.9976141,0.000074648575,0.0021923373,0.000045986413,7.543501e-7,0.000006523617,0.000006771107,3.7115683e-7,0.00005849829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987785,0.000006225226,0.00012416342,0.00012953702,0.0008055131,0.00015604345],"domain_scores_gemma":[0.9997148,0.000012026586,0.00007080006,0.00009586927,0.00006425331,0.000042267806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009488196,0.0000617901,0.000094443865,0.00011601391,0.0004033596,0.000044564087,0.00017172874,0.000025322215,0.00016018344],"category_scores_gemma":[0.000020585185,0.000059965543,0.00002105947,0.0007132282,0.00057778315,0.0013689473,0.00035425567,0.000030662584,0.00005723133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038304388,0.000023220959,0.9897101,0.000045477165,0.0000048646575,1.2726666e-7,0.0024791327,0.000049274433,0.0000115925495,0.00009982136,0.005053129,0.0024849398],"study_design_scores_gemma":[0.0006720602,0.00011147832,0.96782565,0.000009778433,0.000009053963,5.615624e-7,0.008338718,0.00027288977,0.00028474626,0.000025917745,0.02234943,0.00009973227],"about_ca_topic_score_codex":0.000062197854,"about_ca_topic_score_gemma":0.000017068916,"teacher_disagreement_score":0.02188448,"about_ca_system_score_codex":0.0005347885,"about_ca_system_score_gemma":0.000016389784,"threshold_uncertainty_score":0.31023568},"labels":[],"label_agreement":null},{"id":"W2951215736","doi":"10.3897/biss.3.36712","title":"The Global Omics Observatory Network: Shaping standards for long-term molecular observation","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Observatory; Biodiversity; Data science; Environmental resource management; Geography; Ecology; Computer science; Biology; Environmental science","score_opus":0.07438395858227001,"score_gpt":0.3354634964072874,"score_spread":0.26107953782501736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951215736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30807436,0.00016243974,0.6815933,0.0042969123,0.0007516788,0.0011409564,0.0013000043,0.00010420852,0.002576146],"genre_scores_gemma":[0.95352036,0.0046690153,0.030763706,0.010357698,0.00011827597,0.000065744134,0.00035465922,0.000007401225,0.0001431685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99596435,0.00004095003,0.00023099438,0.00025858555,0.0030597528,0.00044537956],"domain_scores_gemma":[0.99611175,0.00010447485,0.00021609834,0.0005556155,0.002889228,0.00012283053],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.010886401,0.00010718798,0.00010287024,0.00008611844,0.0014416681,0.0059865834,0.0019076512,0.000040226896,0.000003134565],"category_scores_gemma":[0.00127412,0.000085657666,0.00003736416,0.0009860201,0.00028766374,0.058261,0.0011325099,0.00008313935,0.000013807139],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002934187,0.000023386887,0.2837507,0.00024940236,0.000072489805,0.0000043582295,0.0010216862,0.0010830022,0.00006758671,0.5698187,0.02480925,0.11880604],"study_design_scores_gemma":[0.0012835354,0.00025006713,0.19106987,0.000034572,0.000016864462,0.0000042242787,0.00055855035,0.031222284,0.00018399223,0.0006900502,0.77432656,0.00035945402],"about_ca_topic_score_codex":0.000013957268,"about_ca_topic_score_gemma":0.000010522987,"teacher_disagreement_score":0.74951726,"about_ca_system_score_codex":0.0009035677,"about_ca_system_score_gemma":0.0014583796,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W2951359556","doi":"10.3897/biss.3.37037","title":"Mangal: An open infrastructure for ecological interactions","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metadata; Identifier; Taxon; Encyclopedia; Biodiversity; Computer science; Ecology; Population; World Wide Web; Geography; Globe; Data science; Database; Biology; Sociology; Library science","score_opus":0.026424469234916627,"score_gpt":0.2941488422922421,"score_spread":0.26772437305732544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951359556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414563,5.4544876e-7,0.00014892902,0.0005173059,0.00018126912,0.0003632524,0.0015241,0.000022647042,0.05578562],"genre_scores_gemma":[0.9983223,0.000008336401,0.00019272482,0.0013476725,0.000003512007,0.000005867233,0.00007927325,4.4130073e-7,0.000039841423],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908364,0.0000071784125,0.00009118532,0.00012481393,0.00054233934,0.00015083383],"domain_scores_gemma":[0.9995334,0.000011211499,0.00005692523,0.00011017029,0.00018380886,0.00010447108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008502371,0.000055566838,0.00006555574,0.000044819415,0.00052703876,0.00040126688,0.00037296087,0.000029491066,0.021612884],"category_scores_gemma":[0.00011565093,0.000045885023,0.000013187136,0.00024726926,0.00022243554,0.005283968,0.00042688655,0.00004315562,0.0005331601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039368996,0.00013719416,0.21492764,0.00003340996,0.000010893719,6.94366e-7,0.0069463984,0.00014182406,0.0035955426,0.012455981,0.73054767,0.030809062],"study_design_scores_gemma":[0.0004121583,0.00015706531,0.26534122,0.0000010453417,0.0000030471851,0.0000029925825,0.0065048276,0.00031464634,0.00017416151,0.00004904321,0.72695255,0.00008725995],"about_ca_topic_score_codex":0.000046201378,"about_ca_topic_score_gemma":0.000056264587,"teacher_disagreement_score":0.056866,"about_ca_system_score_codex":0.00079721113,"about_ca_system_score_gemma":0.00006639224,"threshold_uncertainty_score":0.9792815},"labels":[],"label_agreement":null},{"id":"W2951381916","doi":"10.3897/biss.3.36002","title":"Mission: Implausible — Revealing rogue marine species in records across biodiversity data platforms","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Barcode; Taxon; Geography; Publication; Information retrieval; Ecology; Computer science; Biology","score_opus":0.044698946066473524,"score_gpt":0.30755566472026574,"score_spread":0.26285671865379223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951381916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921183,0.0000151173135,0.00016593181,0.00033139586,0.0003372773,0.00020046138,0.0032840136,0.000013675499,0.003533829],"genre_scores_gemma":[0.9970431,0.00031853325,0.0002393284,0.0004100369,0.000017299548,7.3926543e-7,0.0016438363,9.766503e-7,0.0003261882],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985052,0.000010107269,0.00023588241,0.00029022884,0.00073044177,0.00022818534],"domain_scores_gemma":[0.99846596,0.000006809834,0.00013772663,0.0005301029,0.0007654373,0.0000939881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024244117,0.00009631349,0.00010414632,0.000158805,0.00047752555,0.00024634696,0.0005732182,0.00008432516,0.0001443186],"category_scores_gemma":[0.00031103403,0.00009083241,0.000021165002,0.00046604752,0.00027127503,0.00039727642,0.00088738545,0.000076985736,0.00015641344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006270683,0.00010310358,0.70809245,0.0001888393,0.000038443428,0.0000021814792,0.005022646,0.00008896237,0.027187206,0.000751003,0.24259222,0.0153058935],"study_design_scores_gemma":[0.0011538244,0.00011157451,0.15100029,0.000014637947,0.000006581605,0.000011256325,0.007018767,0.0003264711,0.019991929,0.00000764833,0.8200606,0.00029638546],"about_ca_topic_score_codex":0.00010254453,"about_ca_topic_score_gemma":0.00007474468,"teacher_disagreement_score":0.5774684,"about_ca_system_score_codex":0.00010501806,"about_ca_system_score_gemma":0.00034353425,"threshold_uncertainty_score":0.3704038},"labels":[],"label_agreement":null},{"id":"W2954772748","doi":"10.3897/biss.3.37338","title":"Mainstreaming Molecular Biodiversity: A call for a unified and interoperable framework","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Interoperability; Data science; Biology; Environmental resource management; Ecology; Computer science; World Wide Web","score_opus":0.008088372323071302,"score_gpt":0.229140857805886,"score_spread":0.2210524854828147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954772748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996418,0.000112824746,0.001403443,0.00024981433,0.000120448785,0.0002199019,0.00068952795,0.0000033483725,0.00078268815],"genre_scores_gemma":[0.9979534,0.00022910233,0.0010107469,0.00076112023,0.0000072092334,0.0000018417422,0.00002256896,6.594231e-7,0.000013356346],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993129,0.0000065546587,0.00008698514,0.00016033325,0.00026964583,0.00016362847],"domain_scores_gemma":[0.99918723,0.000007933275,0.000046536607,0.00011831093,0.00056887546,0.000071129776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055528525,0.000080932696,0.00008699179,0.000084034255,0.00032030145,0.00011715641,0.00012360168,0.00005880938,0.0000037504342],"category_scores_gemma":[0.00015563624,0.00007546624,0.00002382363,0.00010812,0.00023336992,0.000022593136,0.00024006864,0.00003354342,0.000007548816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002023738,0.00011224951,0.34718594,0.00066850445,0.0004648927,0.0000052664777,0.021515775,0.00031768158,0.5115628,0.004909626,0.051445033,0.059788473],"study_design_scores_gemma":[0.00298283,0.001386332,0.019320253,0.000040296338,0.00006472209,0.000016984604,0.009720024,0.00039264816,0.056410827,0.00017231984,0.90877867,0.0007140867],"about_ca_topic_score_codex":0.00001924888,"about_ca_topic_score_gemma":0.0000031641257,"teacher_disagreement_score":0.85733366,"about_ca_system_score_codex":0.0000386922,"about_ca_system_score_gemma":0.00015786898,"threshold_uncertainty_score":0.30774242},"labels":[],"label_agreement":null},{"id":"W2955269493","doi":"10.3897/biss.3.37472","title":"Your Digitisation Project is Funded… Now What?","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Workflow; Government (linguistics); Business; Agriculture; Library science; World Wide Web; Computer science; Geography; Database; Archaeology","score_opus":0.029501859883943868,"score_gpt":0.2626219161245842,"score_spread":0.2331200562406403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955269493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92043555,0.000007812219,0.000054961012,0.0009165499,0.00021292092,0.00022094678,0.0007428073,0.000036314934,0.077372156],"genre_scores_gemma":[0.9974195,0.00031339913,0.000024330107,0.0020849758,0.000004187641,0.0000021184046,0.000049832768,6.3015005e-7,0.000101054065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980893,0.000006389649,0.00011337407,0.00013834052,0.0014582099,0.00019434339],"domain_scores_gemma":[0.999513,0.0000060744205,0.00007268592,0.00012764357,0.0002031169,0.00007748551],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079420226,0.00007252752,0.00006711233,0.00008527084,0.00038855872,0.00065807323,0.00017745356,0.000036784317,0.01212342],"category_scores_gemma":[0.000059495105,0.00006507448,0.000021755768,0.0005455001,0.00029009054,0.009842452,0.00020197497,0.000043374606,0.0040099504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012316856,0.000056638033,0.3684205,0.000055194654,0.000010097679,0.0000012836415,0.021278948,0.000013438369,0.0010240915,0.0015578006,0.5454527,0.062006094],"study_design_scores_gemma":[0.00044520543,0.00007846411,0.119179316,0.0000062595036,0.000004144656,0.0000045163183,0.025855629,0.00017018075,0.00089319603,0.000014990991,0.85318804,0.00016004533],"about_ca_topic_score_codex":0.000087469605,"about_ca_topic_score_gemma":0.000021200625,"teacher_disagreement_score":0.30773532,"about_ca_system_score_codex":0.0009923457,"about_ca_system_score_gemma":0.00009641223,"threshold_uncertainty_score":0.99676555},"labels":[],"label_agreement":null},{"id":"W2956832927","doi":"10.3897/biss.3.37986","title":"mBRAVE: The Multiplex Barcode Research And Visualization Environment","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Barcode; Computer science; Data science; Cloud computing; Raw data; Visualization; Interface (matter); Software; Throughput; Software engineering; Data mining; Operating system","score_opus":0.02625465695792757,"score_gpt":0.27901143125275174,"score_spread":0.2527567742948242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956832927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99109215,0.00002221269,0.000087296285,0.00081958174,0.00006155813,0.00040925198,0.00022801108,0.00001784978,0.007262068],"genre_scores_gemma":[0.9986636,0.00055153255,0.00024177044,0.00043053206,0.0000038001851,0.000002778939,0.000010038266,8.902406e-7,0.00009507767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969,0.000037796453,0.00012307215,0.00022268586,0.0024407855,0.00027563568],"domain_scores_gemma":[0.99951226,0.000054509608,0.00005724379,0.00019623284,0.000077880395,0.0001019078],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002525046,0.00009424629,0.00007940666,0.00010413666,0.0016883228,0.00020285044,0.00029769668,0.000040140883,0.0006691381],"category_scores_gemma":[0.0001338077,0.00007032912,0.000013269665,0.00038387286,0.002879447,0.0022327595,0.001237362,0.00010774296,0.0013647361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048261736,0.000028009266,0.9608772,0.000015583566,0.0000075936996,6.13372e-7,0.008776172,0.00012895881,0.0015816479,0.0003074891,0.020859566,0.0073689506],"study_design_scores_gemma":[0.00046047548,0.00016427164,0.7329133,0.000004480364,0.0000057993007,0.000003406557,0.008224203,0.0007114441,0.0009428631,0.00004944226,0.2563665,0.00015382566],"about_ca_topic_score_codex":0.00014252632,"about_ca_topic_score_gemma":0.0000055664373,"teacher_disagreement_score":0.23550692,"about_ca_system_score_codex":0.0006343121,"about_ca_system_score_gemma":0.000020186722,"threshold_uncertainty_score":0.9998341},"labels":[],"label_agreement":null},{"id":"W2962150384","doi":"10.3897/biss.3.38059","title":"DINA: Open Source and Open Services - A modern approach for natural history collection management systems and research","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Interoperability; Computer science; World Wide Web; Workflow; Application programming interface; Data collection; Data science; Knowledge management; Software engineering; Database; Operating system","score_opus":0.05669370693237641,"score_gpt":0.2949158154403441,"score_spread":0.2382221085079677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962150384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89067334,0.00012334071,0.00056254526,0.0002564937,0.00016779813,0.0021587552,0.00041317902,0.000021155876,0.105623424],"genre_scores_gemma":[0.9986931,0.00016147387,0.00018253803,0.00023514,0.0000024784274,0.000031009105,0.000044178985,9.947512e-7,0.0006490531],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862254,0.000020864367,0.00009828406,0.00020311035,0.00086565956,0.00018953203],"domain_scores_gemma":[0.9995318,0.000012896328,0.00005968964,0.000110481786,0.00019622355,0.000088887224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828085,0.000064663676,0.00009385721,0.00009882579,0.0008755825,0.00096309243,0.00043629276,0.000031422736,0.000217222],"category_scores_gemma":[0.000020303825,0.00005675296,0.000007509346,0.00029089177,0.00035149837,0.003944618,0.0017350966,0.000051743675,0.000025132023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002506374,0.0002580772,0.18232791,0.0024658141,0.000090703215,0.0000018759375,0.1070951,0.00031137405,0.0013648957,0.018278696,0.6344366,0.05086256],"study_design_scores_gemma":[0.0020675699,0.00020191929,0.052470513,0.000019917105,0.000013205191,0.000009304782,0.07203191,0.035915114,0.000039273433,0.000041098367,0.8369456,0.00024458652],"about_ca_topic_score_codex":0.00080999,"about_ca_topic_score_gemma":0.00003348578,"teacher_disagreement_score":0.20250897,"about_ca_system_score_codex":0.0016010009,"about_ca_system_score_gemma":0.000049051472,"threshold_uncertainty_score":0.92871225},"labels":[],"label_agreement":null},{"id":"W2965465108","doi":"10.3897/biss.3.38439","title":"Ecobiomics: Environmental metagenomic biomonitoring","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"","keywords":"Biodiversity; Metagenomics; Ecosystem services; Environmental resource management; Ecosystem; Ecosystem health; Environmental planning; Business; Ecology; Environmental science; Biology","score_opus":0.006976108000974548,"score_gpt":0.20286957344891604,"score_spread":0.1958934654479415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965465108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874986,0.000016157752,0.000028850005,0.00008070788,0.00025922834,0.00022260928,0.000704361,0.000032236316,0.009906012],"genre_scores_gemma":[0.99868846,0.00015560082,0.00076621806,0.00031989763,0.000005207185,0.000001142387,0.000014186376,9.703473e-7,0.00004831822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978267,0.000011419765,0.00015061453,0.0002387493,0.0014866404,0.00028587703],"domain_scores_gemma":[0.9995483,0.000013388103,0.000091073656,0.00019242757,0.000021936878,0.00013283758],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010679099,0.00013145075,0.000118999655,0.00012633673,0.00078648794,0.00013945233,0.00033564525,0.000044281554,0.0015411109],"category_scores_gemma":[0.00003783076,0.0001267364,0.000034658395,0.00025936763,0.0011657503,0.0036494846,0.0009030751,0.000071989896,0.006133936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027401426,0.000018023875,0.97627664,0.0000070065357,0.000011335777,9.477737e-7,0.002234689,0.0000500639,0.008329644,0.000015016428,0.0058761463,0.0071531157],"study_design_scores_gemma":[0.0008011326,0.00013730113,0.6486365,0.00000396101,0.000021960117,0.000007774015,0.0058950214,0.00022346947,0.006430945,0.000008787493,0.3374583,0.0003748065],"about_ca_topic_score_codex":0.00008018506,"about_ca_topic_score_gemma":0.0000015391527,"teacher_disagreement_score":0.33158216,"about_ca_system_score_codex":0.0015544132,"about_ca_system_score_gemma":0.000022045657,"threshold_uncertainty_score":0.9993716},"labels":[],"label_agreement":null},{"id":"W2966733191","doi":"10.3897/biss.3.35887","title":"Bio-logging Data in Darwin Core: Use Cases","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Darwin (ADL); Computer science; Data science; Tracking (education); Biodiversity; Logging; Core (optical fiber); Documentation; Wearable computer; Health informatics tools; Global Positioning System; Data mining; Informatics; Geography; Ecology; Telecommunications; Software engineering; Engineering","score_opus":0.04094223791203304,"score_gpt":0.28243450515893787,"score_spread":0.2414922672469048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966733191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690235,0.000020967724,0.00008483639,0.00009693782,0.00015456749,0.00011576825,0.0019097193,0.000006324665,0.0007085588],"genre_scores_gemma":[0.99882,0.00006661223,0.00021610247,0.00046119586,0.0000067826,1.6330371e-7,0.0004089124,4.4775308e-7,0.000019764384],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897605,0.000010110908,0.00010857373,0.00018023707,0.0005802321,0.00014480841],"domain_scores_gemma":[0.999205,0.000010020133,0.000057592384,0.0003165521,0.0003480934,0.000062730076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085682725,0.00006754843,0.00006835114,0.00015439992,0.00019448501,0.00015998696,0.00032061452,0.00005858624,0.00006074547],"category_scores_gemma":[0.00044412387,0.000065091655,0.000011286266,0.00024345146,0.00019457155,0.0002814421,0.00049004867,0.000044434368,0.000029299441],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011019216,0.000009122389,0.97151065,0.000028709723,0.000007645985,0.0000025745608,0.00078372913,0.00011087098,0.003455924,0.00011196378,0.018012745,0.0058558667],"study_design_scores_gemma":[0.0009836464,0.00011318303,0.38600782,0.000010103596,0.000008889557,0.000022944812,0.0022159757,0.00038691444,0.0017892473,0.000005723951,0.60821784,0.00023775746],"about_ca_topic_score_codex":0.00009256388,"about_ca_topic_score_gemma":0.000026815704,"teacher_disagreement_score":0.5902051,"about_ca_system_score_codex":0.00004080519,"about_ca_system_score_gemma":0.00028381043,"threshold_uncertainty_score":0.26543608},"labels":[],"label_agreement":null},{"id":"W2968817071","doi":"10.3897/biss.3.35243","title":"Quantifying Institutional Reach Through the Human Network in Natural History Collections","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Identifier; Digitization; Computer science; World Wide Web; Natural (archaeology); Unique identifier; Library science; Data science; Internet privacy; History; Telecommunications; Archaeology","score_opus":0.044905530627423626,"score_gpt":0.2661966924879287,"score_spread":0.22129116186050507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968817071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81764,0.00003612403,0.00003063957,0.0004313197,0.00042454153,0.00016427509,0.00012011847,0.000020419755,0.18113258],"genre_scores_gemma":[0.99900305,0.000031208754,0.00001872613,0.00081666606,0.0000050840367,0.0000020215584,0.000021291084,2.9415838e-7,0.00010164676],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867296,0.0000138898795,0.00011805698,0.00010230785,0.0009127924,0.00017997173],"domain_scores_gemma":[0.99969643,0.000011949827,0.000057306555,0.0001001841,0.00010043346,0.000033686374],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010116061,0.000056889166,0.000057987545,0.000050554892,0.0011625,0.0001067654,0.00018919096,0.000027114083,0.005180717],"category_scores_gemma":[0.00007154287,0.000043537842,0.000018448474,0.0007439918,0.00063901156,0.002336564,0.00017176266,0.00009702161,0.00031586972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046952515,0.00003339295,0.26977262,0.000015005645,0.0000051854545,0.0000011931023,0.011241679,0.0007743264,0.00048351107,0.028710904,0.68807876,0.0008364973],"study_design_scores_gemma":[0.0002904997,0.000018357234,0.20685893,0.0000038910985,0.0000020840055,0.000004081125,0.0046032374,0.00021033661,0.000023229399,0.00001987358,0.7878848,0.00008071524],"about_ca_topic_score_codex":0.0005727468,"about_ca_topic_score_gemma":0.00048048657,"teacher_disagreement_score":0.18136308,"about_ca_system_score_codex":0.0034860207,"about_ca_system_score_gemma":0.00013847271,"threshold_uncertainty_score":0.9957287},"labels":[],"label_agreement":null},{"id":"W2969120545","doi":"10.3897/biss.3.38627","title":"Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; XML; Flora (microbiology); Information retrieval; World Wide Web; Database; Geology","score_opus":0.031189595428274694,"score_gpt":0.26204798486034286,"score_spread":0.23085838943206816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969120545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97091013,0.000012059602,0.027666286,0.00025675123,0.00019255988,0.00012705964,0.00022605807,0.000018045348,0.00059107324],"genre_scores_gemma":[0.992879,0.000008323629,0.0066293417,0.00047627755,0.0000013800903,1.8002811e-7,0.000002872088,2.2565025e-7,0.0000024049737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877554,0.000013103965,0.00011618193,0.00012200713,0.0008336376,0.00013952999],"domain_scores_gemma":[0.9988851,0.000016130693,0.00006242332,0.00020480192,0.00071855047,0.00011300407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010499579,0.00005813187,0.000101912476,0.00018874175,0.0002059887,0.00019262175,0.0004175948,0.000019981791,0.000007186954],"category_scores_gemma":[0.000165648,0.000048048405,0.0000065326117,0.0005127073,0.00014610078,0.0044575986,0.0002736957,0.00003266182,0.0000017227605],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005377591,0.00012877016,0.19477068,0.0006015454,0.0001585087,0.000022048285,0.13610701,0.0027597568,0.016096842,0.061879817,0.055579517,0.53135777],"study_design_scores_gemma":[0.0037499473,0.0017749668,0.28130946,0.00019270413,0.00006395694,0.000082096485,0.102808505,0.25052837,0.03693792,0.000443247,0.32024664,0.0018622048],"about_ca_topic_score_codex":0.021640845,"about_ca_topic_score_gemma":0.0070412783,"teacher_disagreement_score":0.52949554,"about_ca_system_score_codex":0.00017887416,"about_ca_system_score_gemma":0.0019111393,"threshold_uncertainty_score":0.9848741},"labels":[],"label_agreement":null},{"id":"W3089928363","doi":"10.3897/biss.4.59229","title":"Conservation Implications of Taxonomic Intelligence: A case study of Trillium","year":2020,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taxonomy (biology); Conservation status; Taxonomic rank; Biology; Genus; Ecology; Taxon; Habitat","score_opus":0.0654616969471957,"score_gpt":0.26683430501650357,"score_spread":0.20137260806930787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089928363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953821,0.000007489894,0.0001734299,0.0030829967,0.000011068621,0.0002737035,0.0008080957,0.000011271935,0.0002498995],"genre_scores_gemma":[0.9996302,0.000030676325,0.00004478208,0.0002799336,0.0000049293108,0.0000036938775,0.0000055289015,4.1525098e-8,1.7233401e-7],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99922794,0.000009949591,0.00023403512,0.00009186263,0.0003595314,0.0000766839],"domain_scores_gemma":[0.99869233,0.000047589656,0.00016088426,0.000036525078,0.0009879081,0.00007473603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004647039,0.00004643524,0.000102395825,0.000007539978,0.00040689405,0.000033261873,0.00015043441,0.000020221501,0.0000338584],"category_scores_gemma":[0.00017543489,0.000022100872,0.000019814905,0.0007451624,0.00026029322,0.0005180208,0.00011552441,0.000031594536,0.0000030484455],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020676879,0.00046749643,0.21250182,0.00006795813,0.00005053189,0.000003359975,0.022533301,0.0000658988,0.0111308135,0.0024043536,0.010306062,0.7402616],"study_design_scores_gemma":[0.0010013803,0.0034959917,0.44466648,0.000012608036,0.0000947853,0.000049741706,0.36111397,0.0015284342,0.0044824868,0.000081259706,0.18300143,0.0004714601],"about_ca_topic_score_codex":0.0008680937,"about_ca_topic_score_gemma":0.00024781658,"teacher_disagreement_score":0.73979014,"about_ca_system_score_codex":0.00003375391,"about_ca_system_score_gemma":0.00003063961,"threshold_uncertainty_score":0.31295413},"labels":[],"label_agreement":null},{"id":"W3091859452","doi":"10.3897/biss.4.59190","title":"Even Simple Habitat Ontologies are Hard to Use","year":2020,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Habitat; Flora (microbiology); Ecology; Geography; Biome; Ontology; Taxon; Context (archaeology); Computer science; Ecosystem; Biology; Archaeology","score_opus":0.05856850418981746,"score_gpt":0.2594048638777472,"score_spread":0.20083635968792973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091859452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840777,0.0000023105385,0.0003817069,0.006908976,0.000058139725,0.00014418091,0.0023368124,0.00006215294,0.0060280315],"genre_scores_gemma":[0.9921403,0.000024397397,0.00010952879,0.007694171,0.0000032942155,0.0000017016921,0.000020511117,4.3295012e-7,0.000005660285],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847794,0.000007778188,0.00010486867,0.00013540959,0.0010789627,0.00019504518],"domain_scores_gemma":[0.9994005,0.000012833728,0.000056139317,0.00009076115,0.00019378273,0.00024596212],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00042830428,0.000070346876,0.00008020811,0.00004154577,0.00050121784,0.0003068087,0.00022428943,0.000026824655,0.0030376033],"category_scores_gemma":[0.0010167119,0.00006232924,0.0000194652,0.00055301,0.0003067577,0.0032571387,0.00037264588,0.00004077203,0.001479291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006381379,0.000007941701,0.34874332,0.000009447654,0.0000022107397,0.000001546026,0.00482298,0.000030191339,0.00046917106,0.00017952906,0.6429332,0.0027366295],"study_design_scores_gemma":[0.0001473641,0.00005700307,0.47552353,0.0000012067744,0.0000024490373,7.990243e-7,0.0080163665,0.00005086472,0.00035637294,0.0000029752605,0.51575494,0.000086156506],"about_ca_topic_score_codex":0.000104734165,"about_ca_topic_score_gemma":0.000097159806,"teacher_disagreement_score":0.1271783,"about_ca_system_score_codex":0.0006603907,"about_ca_system_score_gemma":0.000047799076,"threshold_uncertainty_score":0.99929816},"labels":[],"label_agreement":null},{"id":"W3098382762","doi":"10.3897/biss.4.58482","title":"Improving Taxonomic Name Finding in the Biodiversity Heritage Library","year":2020,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Index (typography); Biodiversity; Realm; Computer science; Quarter (Canadian coin); Taxon; Geography; Library science; Information retrieval; History; Biology; Archaeology; Ecology","score_opus":0.02885904720582254,"score_gpt":0.21647919961188636,"score_spread":0.18762015240606383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098382762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97250104,0.000007492851,0.00007236741,0.00512876,0.000049248243,0.00015456993,0.0010774267,0.0000347868,0.020974297],"genre_scores_gemma":[0.9951476,0.00003813723,0.000033585122,0.004750249,0.000003729097,0.0000010373699,0.000023923787,2.8338386e-7,0.0000014985582],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876153,0.000017174772,0.00011111703,0.00012914228,0.0007904265,0.00019062626],"domain_scores_gemma":[0.999703,0.00001347701,0.00006762386,0.00008365793,0.000030726067,0.0001015156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007856305,0.00007011079,0.00006578945,0.00004995126,0.0006100932,0.00033592505,0.00038854484,0.0000304848,0.0044411053],"category_scores_gemma":[0.00015223151,0.00005571239,0.000021399637,0.00061890506,0.0004055744,0.004473052,0.00040090227,0.00008463271,0.0007319495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012976385,0.000034433782,0.58789706,0.00004187716,0.0000037065051,0.000010893223,0.030790461,0.000030210522,0.00065802527,0.0008504264,0.37008783,0.009465274],"study_design_scores_gemma":[0.0007791689,0.000112537884,0.32803547,0.0000029398088,0.0000073953643,0.0000037847476,0.07354053,0.00061659433,0.0005157784,0.000005506025,0.596129,0.00025129822],"about_ca_topic_score_codex":0.00011365353,"about_ca_topic_score_gemma":0.00001529605,"teacher_disagreement_score":0.25986162,"about_ca_system_score_codex":0.00040327388,"about_ca_system_score_gemma":0.00006728115,"threshold_uncertainty_score":0.99646896},"labels":[],"label_agreement":null},{"id":"W3196590076","doi":"10.3897/biss.5.73702","title":"Is Your Collection Ambiguous?","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Ambiguity; Computer science; Documentation; Meaning (existential); Identifier; Task (project management); Data science; World Wide Web; Exploit; Natural (archaeology); Identity (music); Internet privacy; Information retrieval; History; Epistemology; Computer security; Engineering; Aesthetics","score_opus":0.030550178227942475,"score_gpt":0.2613084584545659,"score_spread":0.23075828022662342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196590076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88225204,0.000008912361,0.00016878042,0.0018684124,0.00015641839,0.000060117407,0.0007832828,0.000033091455,0.11466892],"genre_scores_gemma":[0.99602115,0.00018985168,0.00006263601,0.0035395175,0.000004435796,0.0000014980233,0.000034426917,4.8611696e-7,0.00014599675],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842906,0.0000074014565,0.00009126563,0.00011322253,0.0012055684,0.00015345623],"domain_scores_gemma":[0.99938834,0.000002827062,0.000044499557,0.000096105025,0.0003675199,0.00010070465],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006270654,0.000053056207,0.00005329754,0.00004903782,0.00078422844,0.00022507594,0.00009966787,0.000030332521,0.02138649],"category_scores_gemma":[0.00018033886,0.000051494022,0.00001983347,0.00084601814,0.00030943673,0.0020207088,0.0001945977,0.000038838814,0.0010074676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004318048,0.00004214046,0.07165291,0.000015169143,0.000006303611,0.0000045893016,0.0086808745,0.0000061321184,0.0023692113,0.00062412483,0.9024127,0.014142639],"study_design_scores_gemma":[0.00037690753,0.000034051314,0.23067589,0.0000019345412,0.000005975084,0.0000159774,0.012709738,0.00010601323,0.0079771215,0.000016109005,0.7479559,0.00012433811],"about_ca_topic_score_codex":0.00012950946,"about_ca_topic_score_gemma":0.00003567879,"teacher_disagreement_score":0.15902299,"about_ca_system_score_codex":0.0010384738,"about_ca_system_score_gemma":0.00014509955,"threshold_uncertainty_score":0.99977034},"labels":[],"label_agreement":null},{"id":"W3197294334","doi":"10.3897/biss.5.73812","title":"Technical Considerations for a Transactional Model to Realize the Digital Extended Specimen","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computer science; Identifier; Interoperability; News aggregator; Workflow; World Wide Web; Data science; Data management; Variety (cybernetics); The Internet; Database","score_opus":0.04380971021536519,"score_gpt":0.2758545381879959,"score_spread":0.23204482797263068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197294334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36282855,0.000019004425,0.17673062,0.058632307,0.00041912188,0.0017410762,0.047862165,0.00021330103,0.35155386],"genre_scores_gemma":[0.9962319,0.00001567217,0.00083217473,0.0028053655,0.0000047947583,0.0000121896655,0.000050717896,5.7608327e-7,0.00004661508],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987649,0.000004304276,0.00010964987,0.000114023074,0.00086246495,0.00014469211],"domain_scores_gemma":[0.9994215,0.000033534492,0.00002856081,0.000103554914,0.0003095142,0.000103360915],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005601482,0.000053117237,0.00005282713,0.000030450676,0.00091183896,0.00037060244,0.0001011117,0.000024499328,0.0028602886],"category_scores_gemma":[0.00047313955,0.00004128711,0.000028546478,0.00031376956,0.00031829026,0.0013588386,0.00009860731,0.000036060457,0.000115221934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016973713,0.00010973494,0.0009704916,0.000014110891,0.000010516113,0.000002376089,0.0062166285,0.0013549865,0.006050708,0.04160146,0.9307307,0.012768572],"study_design_scores_gemma":[0.0013115947,0.00014307613,0.038509417,0.0000056651816,0.00002741501,0.00007698812,0.018474523,0.0057070963,0.004038752,0.0017533631,0.9295627,0.0003894093],"about_ca_topic_score_codex":0.000006548302,"about_ca_topic_score_gemma":0.000054413584,"teacher_disagreement_score":0.63340336,"about_ca_system_score_codex":0.000599338,"about_ca_system_score_gemma":0.0002061665,"threshold_uncertainty_score":0.9980512},"labels":[],"label_agreement":null},{"id":"W3198720296","doi":"10.3897/biss.5.74032","title":"Estimating the Completeness of Preserved Collections in Representing Global Biodiversity","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Biodiversity; Species richness; Global biodiversity; Geography; Homogeneous; Ecology; Library science; Computer science; Biology; Mathematics","score_opus":0.03498324941023427,"score_gpt":0.2675638154841781,"score_spread":0.23258056607394384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198720296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726092,0.0000070978294,0.00021300864,0.0007897613,0.00010166811,0.00009216987,0.0018681013,0.000012374368,0.024306603],"genre_scores_gemma":[0.9996178,0.000012529434,0.00012246004,0.00020951554,0.0000015564073,0.000001068719,0.000029372908,1.3001014e-7,0.0000055464143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986039,0.000026866073,0.00015638552,0.000113235634,0.00094454066,0.0001550752],"domain_scores_gemma":[0.99934477,0.000021586224,0.00009660465,0.00013448892,0.00035145253,0.000051106672],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012353176,0.000051152198,0.00007888108,0.000041507483,0.0009488267,0.00015357349,0.00020776267,0.000024045952,0.001956612],"category_scores_gemma":[0.00066311535,0.000042720065,0.000023350547,0.001801826,0.0005950085,0.0012520127,0.0005089896,0.00004541377,0.000047185218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029680412,0.000036783124,0.9516629,0.000020873094,0.0000046539258,0.0000025317233,0.0020601854,0.000637751,0.00031947752,0.00022552667,0.043974962,0.0010246537],"study_design_scores_gemma":[0.0006780424,0.000025729389,0.9448351,0.000009006144,0.000010817105,0.000011976324,0.020878103,0.0027718178,0.0014190892,0.00003981041,0.029187845,0.00013262298],"about_ca_topic_score_codex":0.00084538414,"about_ca_topic_score_gemma":0.00045526266,"teacher_disagreement_score":0.027008604,"about_ca_system_score_codex":0.0007507178,"about_ca_system_score_gemma":0.00013719185,"threshold_uncertainty_score":0.9989557},"labels":[],"label_agreement":null},{"id":"W3199395931","doi":"10.3897/biss.3.37139","title":"WF.ACTIAS: A workflow for a better integration of biodiversity data from diverse sources","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biodiversity; Taxon; DNA barcoding; Extinction (optical mineralogy); Taxonomic rank; Taxonomy (biology); Geography; Global biodiversity; Identification (biology); Workflow; Data science; Biology; Ecology; Evolutionary biology; Computer science; Database","score_opus":0.04613424327184442,"score_gpt":0.26477472878393626,"score_spread":0.21864048551209184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199395931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97647685,0.000005673381,0.0008348699,0.00042305843,0.00015460078,0.00025006337,0.018985303,0.000019647736,0.0028499116],"genre_scores_gemma":[0.99799275,0.00004414562,0.00042458388,0.0007488667,0.0000058494043,0.00000132641,0.00077308784,5.180437e-7,0.000008891502],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984586,0.000010220937,0.0001438368,0.00019765556,0.001025318,0.00016437344],"domain_scores_gemma":[0.99922186,0.000032104643,0.00014327645,0.00027999654,0.00024100658,0.0000817815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095029623,0.00008321444,0.00011156226,0.00008330898,0.00037104904,0.00013467505,0.0004850935,0.00004832084,0.007348988],"category_scores_gemma":[0.00019464803,0.00007332324,0.000029003602,0.0003593209,0.00042878187,0.004012666,0.0006268176,0.000045027762,0.000641772],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039039628,0.00007600776,0.6226017,0.000040282324,0.000027844475,4.2854194e-7,0.010178042,0.000017865123,0.0042969543,0.00015206194,0.33162904,0.0305894],"study_design_scores_gemma":[0.0023310918,0.00023159914,0.45223603,0.000022157532,0.00006632838,0.0000013437127,0.049552836,0.0022026144,0.005085896,0.000057667236,0.4877989,0.00041354448],"about_ca_topic_score_codex":0.0005752086,"about_ca_topic_score_gemma":0.000120961486,"teacher_disagreement_score":0.17036565,"about_ca_system_score_codex":0.0004334233,"about_ca_system_score_gemma":0.00006136672,"threshold_uncertainty_score":0.9935584},"labels":[],"label_agreement":null},{"id":"W3200406703","doi":"10.3897/biss.5.74372","title":"Data Standards for the Phenology of Plant Specimens","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Phenology; Herbarium; Digitization; Computer science; Database; Geography; Ecology; Biology","score_opus":0.056378193019715125,"score_gpt":0.2837233119668771,"score_spread":0.22734511894716197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200406703","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43152693,0.00023599471,0.009104697,0.009464707,0.0008787879,0.00074424903,0.47929692,0.00005855675,0.068689145],"genre_scores_gemma":[0.9939147,0.0013740461,0.0005099303,0.0025882164,0.000025759948,0.000007261689,0.001524781,0.0000019468443,0.000053347692],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983648,0.000008597824,0.00013291366,0.00012510906,0.0012116913,0.0001568657],"domain_scores_gemma":[0.9990327,0.000044892935,0.000080829646,0.00029082256,0.00049706793,0.000053731987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019786756,0.00005244706,0.00007737831,0.000028481289,0.0005509864,0.00008913325,0.00040013224,0.000026293934,0.0051685954],"category_scores_gemma":[0.00065031846,0.000037904443,0.000016868027,0.000346781,0.0007440879,0.0012313323,0.00062612974,0.00003478034,0.000035934976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015411357,0.000039428465,0.007019108,0.000035667486,0.000020442345,0.0000015668143,0.0031071196,0.000020530733,0.0014831466,0.006933199,0.9685313,0.012654377],"study_design_scores_gemma":[0.00035486,0.000035466066,0.013920518,0.0000019026842,0.0000123563395,0.0000058716196,0.009820846,0.0003018223,0.0014949583,0.000016069644,0.9739765,0.00005882738],"about_ca_topic_score_codex":0.000034194596,"about_ca_topic_score_gemma":0.000118124364,"teacher_disagreement_score":0.56238776,"about_ca_system_score_codex":0.00046866614,"about_ca_system_score_gemma":0.00030827298,"threshold_uncertainty_score":0.99574083},"labels":[],"label_agreement":null},{"id":"W3200439596","doi":"10.3897/biss.5.75269","title":"HydroClim Data Portal: Cyberinfrastructure for providing high-resolution GIS modeled streamflow and water temperature data to researchers ","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cyberinfrastructure; Streamflow; Environmental science; Biodiversity; Climate change; Water resources; Environmental resource management; Hydrology (agriculture); Geography; Computer science; Ecology; Database; Drainage basin","score_opus":0.04780217735594222,"score_gpt":0.28508113388922107,"score_spread":0.23727895653327885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200439596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98794776,0.000012498917,0.0010966539,0.0051310803,0.00009526249,0.00038287093,0.0045797913,0.000027823164,0.0007262814],"genre_scores_gemma":[0.99586433,0.00009392231,0.0021591608,0.00080666825,0.000009759999,0.000003636594,0.0010190199,0.0000011128182,0.00004236509],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984024,0.000018167937,0.00012659948,0.0003695622,0.00078648736,0.00029679603],"domain_scores_gemma":[0.99921715,0.000013770931,0.000032109623,0.00046904836,0.00014447542,0.00012343966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019826062,0.00009473784,0.00010349697,0.00008333741,0.0011444284,0.00024957178,0.0005319041,0.000052708852,0.00008651505],"category_scores_gemma":[0.00034564198,0.00007109955,0.0000075986936,0.0002646594,0.0004488112,0.0048119966,0.0034096558,0.0000763357,0.00001786259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011073657,0.000084617495,0.071531035,0.00032007403,0.00018681085,0.00003474237,0.028029101,0.00915448,0.01622531,0.0004487133,0.83310884,0.03976891],"study_design_scores_gemma":[0.0034242072,0.000513376,0.06386312,0.00004306155,0.00016486474,0.000025943194,0.013328903,0.061680276,0.011411791,0.0003996559,0.844121,0.0010237973],"about_ca_topic_score_codex":0.00010194536,"about_ca_topic_score_gemma":0.00012010221,"teacher_disagreement_score":0.052525796,"about_ca_system_score_codex":0.000120789504,"about_ca_system_score_gemma":0.00007298543,"threshold_uncertainty_score":0.8802133},"labels":[],"label_agreement":null},{"id":"W3201425853","doi":"10.3897/biss.5.74184","title":"Integrating Taxonomic Names and Concepts from Paper and Digital Sources for a New Flora of Alaska","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Flora (microbiology); Taxon; Nomenclature; Species name; Taxonomic rank; Taxonomy (biology); Welsh; Geography; Ecology; Zoology; Biology; Archaeology","score_opus":0.021778854312560915,"score_gpt":0.22661684646172403,"score_spread":0.20483799214916312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201425853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962167,0.00025731316,0.000052524898,0.0009682266,0.000054686632,0.000099818724,0.0018047367,0.000009444342,0.0005365484],"genre_scores_gemma":[0.99920565,0.00017510487,0.00034296556,0.00023489108,0.000018456747,0.0000013484763,0.000010689865,6.500829e-8,0.000010799766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994318,0.0000063530942,0.00012973214,0.00012280745,0.00019578137,0.00011356107],"domain_scores_gemma":[0.9992937,0.00011892048,0.00008787527,0.000022114242,0.00040413675,0.000073259755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028875069,0.00006621195,0.00012794716,0.000014670525,0.000479744,0.0002478356,0.00006890325,0.000036030106,0.00002916936],"category_scores_gemma":[0.0003873314,0.00003173921,0.00002020788,0.00012783014,0.0005119199,0.0016032478,0.00014119681,0.000029273213,0.0000010115083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016517896,0.000029438512,0.7076807,0.000041606007,0.0000650618,0.0000010203,0.004646238,0.0000014243238,0.0054338947,0.00026017468,0.013976668,0.2676986],"study_design_scores_gemma":[0.0007054964,0.00029211125,0.6029885,0.000022567865,0.000023514658,0.000004574036,0.06020121,0.00007866682,0.0020372584,0.00020528326,0.33322993,0.00021093896],"about_ca_topic_score_codex":0.000035603294,"about_ca_topic_score_gemma":0.00021719144,"teacher_disagreement_score":0.31925327,"about_ca_system_score_codex":0.00002698572,"about_ca_system_score_gemma":0.000085922,"threshold_uncertainty_score":0.36898512},"labels":[],"label_agreement":null},{"id":"W3201547679","doi":"10.3897/biss.5.75377","title":"A Collective Effort to Update the Legume Checklist","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Checklist; Taxonomic rank; Biology; Biodiversity; Taxonomy (biology); Taxon; Global biodiversity; Ecology","score_opus":0.011190725816363436,"score_gpt":0.2205288084238331,"score_spread":0.20933808260746967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201547679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985747,0.000014919149,0.0000081555145,0.008017025,0.000106693435,0.0001438729,0.0009676187,0.000031409287,0.004963336],"genre_scores_gemma":[0.996127,0.000009202403,0.00007591546,0.0036795118,0.000017164844,0.0000032551925,0.000027572272,7.497268e-8,0.000060279493],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998424,0.000017155811,0.00011453863,0.00014118831,0.0010952405,0.00020786808],"domain_scores_gemma":[0.9981007,0.000029578017,0.000048919384,0.000060319548,0.001636812,0.00012365535],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013016216,0.000072762974,0.0000800243,0.000027519392,0.001371582,0.00046788168,0.0002763988,0.00003257251,0.00017885487],"category_scores_gemma":[0.00041844771,0.000027427779,0.000032228516,0.0014482426,0.00025948175,0.0012740451,0.00026029962,0.00006023669,0.0001308003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005044881,0.0001733299,0.16262601,0.000046114492,0.000119685516,0.000026839012,0.039081484,0.0000070604133,0.1265037,0.0065257233,0.45053688,0.21384868],"study_design_scores_gemma":[0.00028329418,0.00015846276,0.25635636,0.000009455183,0.000019071867,0.000025557993,0.0071094404,0.000027277727,0.054812495,0.00010043328,0.68082315,0.00027501272],"about_ca_topic_score_codex":0.00007463519,"about_ca_topic_score_gemma":0.000094622264,"teacher_disagreement_score":0.23028627,"about_ca_system_score_codex":0.0003505315,"about_ca_system_score_gemma":0.00045471833,"threshold_uncertainty_score":0.9999285},"labels":[],"label_agreement":null},{"id":"W4200153775","doi":"10.3897/biss.5.79084","title":"Challenges in Curating Interdisciplinary Data in the Biodiversity Research Community","year":2021,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute of Museum and Library Services","keywords":"Biodiversity; Data science; Computer science; World Wide Web; Sociology; Ecology; Biology","score_opus":0.2020974449310315,"score_gpt":0.37101019986164757,"score_spread":0.16891275493061608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200153775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97432595,0.00009716098,0.0000043178693,0.00495777,0.000057535424,0.00017416723,0.00071447244,0.000010560667,0.019658083],"genre_scores_gemma":[0.99841356,0.0009376099,0.00022180448,0.00036418356,0.0000027967149,0.0000013779534,0.000055916975,3.576744e-7,0.000002408361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664015,0.00036225768,0.00017781567,0.0002600124,0.002228779,0.00033100028],"domain_scores_gemma":[0.9989499,0.00018183135,0.000055947836,0.0006267304,0.00012388302,0.000061748135],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0138471555,0.00009546251,0.00011316757,0.00019320384,0.002295737,0.00018258896,0.0013591225,0.00005005494,0.000090562724],"category_scores_gemma":[0.0008780703,0.000080253456,0.000014604631,0.0011845122,0.0021350747,0.0044011273,0.009453988,0.00047071904,0.00020834673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033306602,0.00011777818,0.8796103,0.00002738952,0.0000035731666,0.000024677123,0.08231961,0.000023231885,0.000054514116,0.00003463129,0.021353772,0.016397217],"study_design_scores_gemma":[0.00031860257,0.000049173035,0.7677658,0.000013533089,0.0000029571293,0.000008821737,0.21386659,0.00007870061,0.00007423385,0.000050700513,0.017667426,0.00010343335],"about_ca_topic_score_codex":0.0007123602,"about_ca_topic_score_gemma":0.0021404214,"teacher_disagreement_score":0.13154699,"about_ca_system_score_codex":0.0009260386,"about_ca_system_score_gemma":0.00006707207,"threshold_uncertainty_score":0.9990031},"labels":[],"label_agreement":null},{"id":"W4248862956","doi":"10.3897/biss.4.59067","title":"Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses","year":2020,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biodiversity; Natural history; Geography; Horseshoe (symbol); Pandemic; Coronavirus disease 2019 (COVID-19); Biology; Zoology; Archaeology; Ecology; Infectious disease (medical specialty); Disease; Computer science; Medicine","score_opus":0.1269254889928446,"score_gpt":0.36876613316946505,"score_spread":0.24184064417662046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248862956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84351516,0.0017958609,0.010693374,0.06795992,0.00026819654,0.006676739,0.058707442,0.00005714965,0.010326129],"genre_scores_gemma":[0.99593467,0.0005051546,0.0023728702,0.00089074275,0.000038742586,0.0000056111217,0.00022828701,0.0000011415885,0.00002280224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990036,0.0000100683155,0.00020122758,0.00011929199,0.0005619344,0.000103877486],"domain_scores_gemma":[0.9981465,0.00013988216,0.00015429647,0.00018718722,0.0012488374,0.00012331891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018602498,0.00005117686,0.00013837601,0.00009691572,0.0002565198,0.000039045204,0.00014842818,0.000014952146,0.000035373105],"category_scores_gemma":[0.0021307738,0.000034418284,0.00001929888,0.0003664173,0.0004715434,0.0014659177,0.00011823994,0.000032297692,4.3772962e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0092800055,0.00017942107,0.024770718,0.003803078,0.00019147818,5.6549464e-7,0.038054843,0.000026644957,0.0005220374,0.010195217,0.33729526,0.57568073],"study_design_scores_gemma":[0.0019314048,0.00072612026,0.035407774,0.0000510112,0.00011244743,0.0000012283449,0.0061176685,0.0044163964,0.00042488327,0.000025281382,0.95071393,0.0000718765],"about_ca_topic_score_codex":0.000031025796,"about_ca_topic_score_gemma":0.000007975515,"teacher_disagreement_score":0.61341864,"about_ca_system_score_codex":0.000041840027,"about_ca_system_score_gemma":0.0010330117,"threshold_uncertainty_score":0.2550889},"labels":[],"label_agreement":null},{"id":"W4289315378","doi":"10.3897/biss.6.90949","title":"Preliminary Findings of Usability Studies on an Ontology-Aware Taxon-by-Character Matrix Editor","year":2022,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Museum of Nature; Agriculture and Agri-Food Canada; Université de Montréal; University of Ottawa; University of Manitoba","funders":"","keywords":"Usability; World Wide Web; Computer science; Ontology; Login; Formality; Character (mathematics); Information retrieval; Human–computer interaction; Linguistics; Mathematics","score_opus":0.024525617022168388,"score_gpt":0.28503365862102875,"score_spread":0.2605080415988604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289315378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167734,0.000008444378,0.000011339715,0.00056367944,0.00056632905,0.00015064994,0.005713305,0.000020681,0.001288201],"genre_scores_gemma":[0.99939734,0.000023898885,0.000010116034,0.0004705918,0.0000100602665,0.000005495979,0.00006922517,4.6172704e-7,0.000012801943],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979071,0.000031891548,0.00018725771,0.00015987425,0.0015428911,0.00017097701],"domain_scores_gemma":[0.9994166,0.000025921147,0.00012304532,0.0001463222,0.00019876317,0.00008938342],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018786365,0.00008016753,0.000114254435,0.00007516265,0.0009463429,0.000046360987,0.0002699171,0.000027394492,0.0053627784],"category_scores_gemma":[0.00021594952,0.00007273512,0.00002479437,0.00037400154,0.00081556145,0.0017747981,0.00047122332,0.00008468833,0.00007641234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060630345,0.00022511138,0.13723744,0.000048846436,0.0000138941505,0.0000014008154,0.0153635405,0.00007542181,0.0011369621,0.0003931108,0.84312886,0.0017691251],"study_design_scores_gemma":[0.0011045333,0.0023192551,0.2557026,0.0000066968046,0.00002597447,0.0000096566055,0.11497092,0.00032043064,0.0043998137,0.00002801631,0.6207081,0.00040399208],"about_ca_topic_score_codex":0.000060183775,"about_ca_topic_score_gemma":0.000010378263,"teacher_disagreement_score":0.22242074,"about_ca_system_score_codex":0.0014866464,"about_ca_system_score_gemma":0.00006771497,"threshold_uncertainty_score":0.99554646},"labels":[],"label_agreement":null},{"id":"W4292756574","doi":"10.3897/biss.6.91356","title":"Campaigning for a Global Collections Network: Improving the digital representation and visibility of natural science collections from Latin America and the Caribbean","year":2022,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Convention on Biological Diversity; Biodiversity; Discoverability; Environmental resource management; Business; Geography; Political science; World Wide Web; Computer science; Ecology; Biology","score_opus":0.028750110618237693,"score_gpt":0.3023797167389239,"score_spread":0.2736296061206862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292756574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.526125,0.0002001805,0.44541776,0.008721766,0.0011185025,0.0032515205,0.007256119,0.00011352486,0.007795626],"genre_scores_gemma":[0.99811894,0.000038169892,0.0016095242,0.00017545646,0.0000071950312,0.000017281409,0.0000122826195,3.043042e-7,0.000020862655],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792206,0.00006814939,0.0001711712,0.00023170689,0.0014118545,0.0001950372],"domain_scores_gemma":[0.9981002,0.00037928871,0.0002158118,0.00028325198,0.00096532627,0.00005609331],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0044433656,0.000056968773,0.00008315487,0.00015408592,0.008049529,0.0050015654,0.0007670801,0.0000079851525,0.0000017742195],"category_scores_gemma":[0.0035489947,0.00003905682,0.000018857063,0.0038728425,0.0020702549,0.02062971,0.001989827,0.00009472359,1.0444692e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032616765,0.0002150301,0.11104442,0.00020217968,0.0003083872,0.000003972193,0.105255716,0.009909985,0.0006687018,0.22774385,0.12536132,0.41602474],"study_design_scores_gemma":[0.0041031544,0.00058906566,0.07210489,0.000011865158,0.00007709798,0.000024212806,0.09178567,0.7157098,0.00022995472,0.0027976655,0.11215788,0.00040875],"about_ca_topic_score_codex":0.0011998137,"about_ca_topic_score_gemma":0.000047557423,"teacher_disagreement_score":0.7057998,"about_ca_system_score_codex":0.00028987156,"about_ca_system_score_gemma":0.00083906495,"threshold_uncertainty_score":0.99603134},"labels":[],"label_agreement":null},{"id":"W4292757114","doi":"10.3897/biss.6.93839","title":"Open Source Workshop to Mobilize Marine Biodiversity Data","year":2022,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Python (programming language); Computer science; Toolbox; Asynchronous communication; World Wide Web; Software engineering; Telecommunications; Operating system","score_opus":0.04743412131280997,"score_gpt":0.27784501775394826,"score_spread":0.2304108964411383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292757114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87359434,0.00007767906,0.00036126265,0.010716518,0.0012626544,0.0029824285,0.09499979,0.00009143199,0.015913872],"genre_scores_gemma":[0.94467056,0.0027765366,0.012843324,0.035234917,0.00006569212,0.000058518228,0.0019801285,0.000014608554,0.0023557441],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905311,0.00013393619,0.000511721,0.0012597935,0.006610262,0.0009532249],"domain_scores_gemma":[0.9969034,0.000072829,0.00038796553,0.0015758022,0.0002799259,0.0007800554],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","open_science","insufficient_payload"],"category_scores_codex":[0.009335591,0.00043715458,0.00044362975,0.0005039782,0.0126854,0.0016238895,0.008718648,0.0000915974,0.018219436],"category_scores_gemma":[0.0006221133,0.0004985819,0.00006619663,0.002824743,0.0035707701,0.013684551,0.14578271,0.00046283187,0.0032124792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005500766,0.00019990443,0.31757665,0.000030146048,0.00005549569,0.0000094203915,0.01582476,0.0012852803,0.0000665842,0.000012974888,0.615819,0.04856974],"study_design_scores_gemma":[0.0012120497,0.0004093323,0.12681805,0.000007106488,0.00008545914,0.000015278405,0.050059438,0.00046413144,0.000090642054,0.000004590353,0.82017237,0.0006615343],"about_ca_topic_score_codex":0.0025083094,"about_ca_topic_score_gemma":0.00011019421,"teacher_disagreement_score":0.2043534,"about_ca_system_score_codex":0.0055721886,"about_ca_system_score_gemma":0.00036095947,"threshold_uncertainty_score":0.99974656},"labels":[],"label_agreement":null},{"id":"W4292757395","doi":"10.3897/biss.6.91407","title":"MaterialSample and its Properties","year":2022,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Diversification (marketing strategy); Task (project management); Computer science; Task group; Work (physics); Biodiversity; Quarter (Canadian coin); Knowledge management; Data science; Geography; Engineering; Ecology; Business; Systems engineering; Engineering management; Biology","score_opus":0.03346802578022656,"score_gpt":0.26344627538963883,"score_spread":0.22997824960941227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292757395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966718,0.00006413824,0.000011562095,0.00041403738,0.00014450119,0.00012306261,0.00156992,0.000028404615,0.0009726049],"genre_scores_gemma":[0.9996531,0.000047358877,0.00003264,0.00023594181,0.0000046832683,0.0000054801726,0.0000049918945,4.0396796e-7,0.000015417894],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979978,0.000024684605,0.00010303897,0.00010691718,0.0015749971,0.00019254959],"domain_scores_gemma":[0.99925023,0.000007509378,0.0000451278,0.00006921411,0.0005372615,0.00009064892],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032605373,0.000050426577,0.00007098494,0.00015707962,0.0017477807,0.00050179096,0.0002012347,0.000010518321,0.00069308875],"category_scores_gemma":[0.00020067442,0.000041437972,0.0000075633525,0.00026334886,0.00029806455,0.0025792758,0.00063767016,0.000040548308,0.00005152582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009147378,0.000119227094,0.008654869,0.00047082364,0.000015727313,0.000012716093,0.043564323,0.00015776145,0.82686245,0.013913135,0.0750949,0.030219352],"study_design_scores_gemma":[0.0011176274,0.00043654273,0.0072029834,0.000010312928,0.000009883823,0.00004320579,0.015490343,0.0010635501,0.15938966,0.00007460422,0.8147565,0.00040475526],"about_ca_topic_score_codex":0.000063500825,"about_ca_topic_score_gemma":0.0000010915442,"teacher_disagreement_score":0.73966163,"about_ca_system_score_codex":0.00015049677,"about_ca_system_score_gemma":0.0004169713,"threshold_uncertainty_score":0.99955183},"labels":[],"label_agreement":null},{"id":"W4292937883","doi":"10.3897/biss.6.93927","title":"Modeling Taxon Concepts: A new approach to an old problem","year":2022,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Taxonomic rank; Computer science; Taxon; Circumscription; Data science; Nomenclature; Taxonomy (biology); Biodiversity; Information retrieval; Artificial intelligence; Ecology; Biology","score_opus":0.04213786122077932,"score_gpt":0.2660769088873188,"score_spread":0.22393904766653946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292937883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87421656,0.0000039026795,0.0072977925,0.0008208509,0.00010183759,0.00039964938,0.0017058384,0.000072234936,0.115381345],"genre_scores_gemma":[0.9962085,0.00000834043,0.0007711086,0.0028484245,0.0000054554575,0.000011754,0.00007922641,8.072128e-7,0.000066416935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778223,0.000015529158,0.00011849491,0.00017187229,0.0016991618,0.00021273986],"domain_scores_gemma":[0.99946576,0.0000023803266,0.000039091774,0.00013100634,0.00010605785,0.00025572957],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001448778,0.000069048954,0.00006649799,0.00008710465,0.001309803,0.00024411199,0.00032480803,0.000016760803,0.007664364],"category_scores_gemma":[0.000058092082,0.000068099915,0.00001597747,0.00075598323,0.0001512138,0.0025195205,0.00055691594,0.000067869354,0.0002568194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041205774,0.00028649153,0.014424134,0.00003632509,0.000011838776,0.0000020915966,0.10325631,0.08703176,0.0013863042,0.014931269,0.7360203,0.04220108],"study_design_scores_gemma":[0.0007512672,0.00022539689,0.002180029,0.0000016017628,0.0000078222765,0.000012029719,0.08243128,0.030583087,0.000097355354,0.00003532749,0.88336617,0.0003086416],"about_ca_topic_score_codex":0.0006016632,"about_ca_topic_score_gemma":0.00001873944,"teacher_disagreement_score":0.14734583,"about_ca_system_score_codex":0.0015683746,"about_ca_system_score_gemma":0.00013517385,"threshold_uncertainty_score":0.99999034},"labels":[],"label_agreement":null},{"id":"W4386331042","doi":"10.3897/biss.7.111893","title":"Japan Biodiversity Information Initiative (JBIF)'s Efforts to Collect and Publish Biodiversity Information from Japan","year":2023,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Genetics; Ministry of Education, Culture, Sports, Science and Technology; National Museum of Nature and Science","keywords":"Biodiversity; Library science; Global biodiversity; Publication; Christian ministry; Political science; Geography; Business; Computer science; Biology; Ecology; Law","score_opus":0.02339617402469176,"score_gpt":0.23296742396805403,"score_spread":0.20957124994336226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386331042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95491016,0.0000027591711,0.00012020779,0.0023532228,0.00029903397,0.0005172495,0.030163798,0.00019100182,0.011442595],"genre_scores_gemma":[0.98831576,0.00022442103,0.00007744518,0.0070826462,0.00000935813,0.00001125137,0.004271058,8.9008046e-7,0.000007176821],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9966498,0.00003287397,0.0003611111,0.000239402,0.0022227047,0.00049409486],"domain_scores_gemma":[0.99827045,0.000048449332,0.000261007,0.00022988683,0.0007266355,0.0004635435],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0017767024,0.00022623557,0.00021558059,0.0006838284,0.002181287,0.0012795244,0.00043291927,0.0001364713,0.0031369145],"category_scores_gemma":[0.00075939746,0.00022729195,0.000051686002,0.0027226992,0.0007449854,0.023637123,0.0011475357,0.0001443919,0.007633467],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016284117,0.00001683864,0.16394888,0.000025295381,0.000016265569,9.214309e-7,0.025891636,0.00002469247,0.000043058237,0.00007964059,0.8006502,0.009139737],"study_design_scores_gemma":[0.0010754998,0.00015538473,0.48641205,0.000007635599,0.00002521738,0.000003147384,0.039950695,0.00015273865,0.0003496551,0.000015889325,0.47148764,0.00036444244],"about_ca_topic_score_codex":0.0014660415,"about_ca_topic_score_gemma":0.00016743176,"teacher_disagreement_score":0.32916257,"about_ca_system_score_codex":0.0016567237,"about_ca_system_score_gemma":0.00019689568,"threshold_uncertainty_score":0.99975723},"labels":[],"label_agreement":null},{"id":"W4386746786","doi":"10.3897/biss.7.112715","title":"I Know Something You Don’t Know: The annotation saga continues…","year":2023,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Annotation; Computer science; World Wide Web; Discoverability; Identification (biology); The Internet; Data science; Artificial intelligence","score_opus":0.02483739196185091,"score_gpt":0.25839321268393234,"score_spread":0.23355582072208142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386746786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9420486,0.000022108168,0.00018536845,0.004638436,0.00030138242,0.00021295896,0.0010856229,0.00012855226,0.05137696],"genre_scores_gemma":[0.99747777,0.00055589963,0.000027553811,0.0016209694,0.000013773499,0.0000060190177,0.00010042386,0.0000011445288,0.0001964641],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805,0.000018417932,0.00013402196,0.00012168365,0.0014357463,0.00024015192],"domain_scores_gemma":[0.999446,0.00002755761,0.000083166386,0.00013075004,0.00022568268,0.000086845204],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002728095,0.00007289526,0.00006460699,0.00010187302,0.0013403741,0.00033700367,0.00026445047,0.000035699995,0.00283331],"category_scores_gemma":[0.00042229937,0.000053837943,0.00002453917,0.0012866877,0.00065596896,0.002664303,0.0002967619,0.00007130238,0.0018960887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005226749,0.000019520141,0.048565034,0.00002058934,0.00000792102,0.0000021868975,0.024598522,0.00008629365,0.0012532045,0.0023117762,0.82715815,0.095924504],"study_design_scores_gemma":[0.00023823815,0.0000264645,0.12203613,0.0000034169611,0.0000050113094,0.0000019900615,0.021583678,0.00043633304,0.00036873686,0.0000249672,0.8551802,0.000094828894],"about_ca_topic_score_codex":0.00011665557,"about_ca_topic_score_gemma":0.000045138593,"teacher_disagreement_score":0.09582967,"about_ca_system_score_codex":0.00064053625,"about_ca_system_score_gemma":0.00006789662,"threshold_uncertainty_score":0.99995977},"labels":[],"label_agreement":null},{"id":"W4403846866","doi":"10.3897/biss.8.140268","title":"What Matters for an occurrenceID and What Is an occurrenceID That Matters?","year":2024,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Political science; Epistemology; Philosophy","score_opus":0.037024962579221006,"score_gpt":0.2826232271192644,"score_spread":0.2455982645400434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403846866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47704136,0.0034289153,0.45550779,0.050678946,0.007165368,0.0014685872,0.003538437,0.00079399144,0.00037659938],"genre_scores_gemma":[0.9339715,0.008543224,0.015522407,0.041498568,0.00013189785,0.000026964999,0.00025072857,0.000008388419,0.0000463244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978307,0.000018670813,0.00021804271,0.00040984654,0.0011761765,0.00034654865],"domain_scores_gemma":[0.9986287,0.00003552041,0.00010138217,0.00030353304,0.0006742592,0.00025662105],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002202611,0.00016348436,0.00016593617,0.00042664056,0.0010348754,0.015922243,0.00065499044,0.000052229843,0.00003198797],"category_scores_gemma":[0.00002711283,0.00013989783,0.000049779886,0.0007485761,0.00048689306,0.09391814,0.0003143236,0.000085722575,0.00002264169],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030733274,0.000017156806,0.00047646754,0.00016804367,0.000021625072,0.0000023123732,0.05123483,0.000019384739,0.00007935328,0.0018617804,0.035575747,0.91051257],"study_design_scores_gemma":[0.0005787171,0.0006943996,0.001120579,0.00027597396,0.00005686076,0.000053557033,0.06403365,0.21138348,0.0012973371,0.00041438758,0.7193187,0.00077234715],"about_ca_topic_score_codex":0.000031072675,"about_ca_topic_score_gemma":0.00000900395,"teacher_disagreement_score":0.9097402,"about_ca_system_score_codex":0.00012673132,"about_ca_system_score_gemma":0.00030566784,"threshold_uncertainty_score":0.9850993},"labels":[],"label_agreement":null},{"id":"W4404619910","doi":"10.3897/biss.8.142382","title":"Relation Extraction From Unstructured Species Descriptions Using TaxonNERD and LLaMA 2 7B","year":2024,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia Tecnología y Telecomunicaciones; Instituto Tecnológico de Costa Rica; Consejo Superior Universitario Centroamericano; International Development Research Centre","keywords":"Relationship extraction; Adaptability; Computer science; Relation (database); Biodiversity; Taxonomy (biology); False positive paradox; Trophic level; Artificial intelligence; Natural language processing; Information extraction; Information retrieval; Ecology; Biology; Data mining","score_opus":0.02713421106529408,"score_gpt":0.27947845760268597,"score_spread":0.2523442465373919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404619910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98596084,0.00034425562,0.011843541,0.00029571267,0.0003733775,0.000054833923,0.00054395804,0.00002792139,0.00055554416],"genre_scores_gemma":[0.99755394,0.00029726568,0.0019239447,0.00009502353,0.00003812736,5.1002667e-7,0.00007520974,6.157156e-7,0.00001537924],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927086,0.000010394062,0.000098439574,0.00013245968,0.00038853873,0.00009932237],"domain_scores_gemma":[0.9995619,0.000008822063,0.000034237975,0.00006461475,0.0002713489,0.000059065256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044758507,0.000061813014,0.000052722848,0.00011589795,0.00039018664,0.0002604812,0.000060929367,0.00008564718,0.000018543267],"category_scores_gemma":[0.00026845632,0.00005271144,0.00001579032,0.00018937557,0.0004960626,0.00013418206,0.000074046045,0.000054934862,0.0000038032804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033572447,0.000027274053,0.030452754,0.00015765775,0.00012584348,0.000010001773,0.011580527,0.00017619932,0.4241205,0.0015937977,0.08014382,0.45127591],"study_design_scores_gemma":[0.00041867237,0.00014905188,0.05991798,0.00003880523,0.00004110492,0.00003792271,0.005409857,0.005104115,0.012340069,0.0001366143,0.9161595,0.0002463034],"about_ca_topic_score_codex":0.000042300235,"about_ca_topic_score_gemma":0.000010721027,"teacher_disagreement_score":0.8360157,"about_ca_system_score_codex":0.00006863488,"about_ca_system_score_gemma":0.00020759321,"threshold_uncertainty_score":0.30010396},"labels":[],"label_agreement":null},{"id":"W4416100715","doi":"10.3897/biss.9.177306","title":"Mobile Applications to Conservation Applications: Incentivizing FAIR Principles of Data Management by Providing Users with Flexible Mobile Data Collection Tools","year":2025,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Birds Canada","funders":"","keywords":"Mobile apps; Data management; Data collection; Mobile device; Variety (cybernetics); Data access; Best practice; Data discovery; Data flow diagram","score_opus":0.07201024220187423,"score_gpt":0.3131231373349676,"score_spread":0.24111289513309336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416100715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15666899,0.00063480483,0.59075636,0.0020488503,0.00032509028,0.022460004,0.16306244,0.00028893288,0.06375455],"genre_scores_gemma":[0.95326823,0.009915607,0.016077798,0.0033423912,0.000026206295,0.002336753,0.01404816,0.0000127604535,0.0009720712],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966981,0.000024047198,0.0005071905,0.0006455818,0.001784884,0.0003402094],"domain_scores_gemma":[0.9974915,0.00003723172,0.000367353,0.001240242,0.0007006189,0.000163082],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027039314,0.00019390805,0.0002070123,0.00034339834,0.0018374855,0.00071348867,0.0017101143,0.00007264615,0.00045841004],"category_scores_gemma":[0.00007882574,0.0001948029,0.000017763767,0.0037144674,0.00089491904,0.009348758,0.0030878824,0.00009371429,0.00008288871],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092908787,0.0009145966,0.07686637,0.002127053,0.00024509814,7.5956274e-7,0.008123529,0.0011096556,0.0038550242,0.009087202,0.31994957,0.57679206],"study_design_scores_gemma":[0.0006193068,0.00014207684,0.005479729,0.00006198858,0.00007813056,9.372743e-7,0.027193198,0.0028770552,0.0020346218,0.0000036979804,0.96128243,0.00022683626],"about_ca_topic_score_codex":0.00019147794,"about_ca_topic_score_gemma":0.000063956155,"teacher_disagreement_score":0.79659927,"about_ca_system_score_codex":0.002248963,"about_ca_system_score_gemma":0.00052835996,"threshold_uncertainty_score":0.999462},"labels":[],"label_agreement":null},{"id":"W4416392445","doi":"10.3897/biss.9.177966","title":"Everywhere Everyone Everything All at Once: Integrating Data Infrastructures and Analysis Workflows for the Upscaling to Global Genetic Monitoring","year":2025,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workflow; Standardization; Harmonization; Data integration; Environmental monitoring; Pipeline (software); Process (computing); Scale (ratio); Visualization; Data management","score_opus":0.06889248153765737,"score_gpt":0.3809632779196684,"score_spread":0.312070796382011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416392445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10800704,0.0010783048,0.87612027,0.0050363783,0.0008593245,0.0010734601,0.0073361667,0.00004468867,0.00044435923],"genre_scores_gemma":[0.8995228,0.006010909,0.09104673,0.0028740019,0.000099554774,0.000025478876,0.00021650846,0.0000033601602,0.00020068031],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99393445,0.00010941209,0.00058123056,0.0008366393,0.0038435534,0.0006946834],"domain_scores_gemma":[0.99444455,0.0005436514,0.00037752595,0.0015575435,0.0027774305,0.00029928138],"candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01213483,0.00027613793,0.0003147108,0.0007968535,0.004157656,0.015415116,0.0047543454,0.00009173105,0.000010757386],"category_scores_gemma":[0.007945071,0.00022094784,0.00006397263,0.005540761,0.00069413264,0.05690964,0.012240592,0.00023704776,0.0000041197654],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000579604,0.00003166435,0.32243568,0.00046136507,0.0015041876,0.0000067614264,0.015161339,0.011606057,0.000059579503,0.0027898767,0.055707533,0.58965635],"study_design_scores_gemma":[0.0008096335,0.00013048569,0.3106083,0.00015567821,0.00083320314,0.0000053653093,0.008511718,0.39902395,0.000087503715,0.000073775656,0.2792922,0.00046820156],"about_ca_topic_score_codex":0.0005997648,"about_ca_topic_score_gemma":0.00018827652,"teacher_disagreement_score":0.7915157,"about_ca_system_score_codex":0.0013590389,"about_ca_system_score_gemma":0.0012598357,"threshold_uncertainty_score":0.9971388},"labels":[],"label_agreement":null},{"id":"W4416413055","doi":"10.3897/biss.9.178568","title":"It Takes a Network: Building Biodiversity Knowledge Through Collaboration","year":2025,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; University of British Columbia, Okanagan Campus; Kelowna General Hospital; McGill University; University of British Columbia","funders":"","keywords":"General partnership; Interoperability; Biodiversity; Workflow; Process (computing); Citizen science","score_opus":0.05986190831072664,"score_gpt":0.3646607739656663,"score_spread":0.3047988656549397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416413055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0169045,0.0011903404,0.7289092,0.06166383,0.00435883,0.002127741,0.0049938266,0.00026430067,0.17958742],"genre_scores_gemma":[0.86835647,0.044981867,0.047435172,0.036388673,0.00031403042,0.000045344816,0.00045573091,0.000007568718,0.0020151674],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935855,0.00021938368,0.0005837117,0.00073921407,0.003931541,0.0009406302],"domain_scores_gemma":[0.9899555,0.00020597449,0.0004943948,0.00091036764,0.0081681255,0.00026564905],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.014106749,0.00031148182,0.00032345406,0.0011130138,0.0059964494,0.019378765,0.0032954847,0.00015292956,0.000048555034],"category_scores_gemma":[0.0037961744,0.00032534142,0.00006689422,0.009445841,0.0019672236,0.22282866,0.0039932104,0.00033297687,0.00017545147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022693079,0.000098287994,0.006247636,0.0003792182,0.000110722205,0.0000081266235,0.02382798,0.0003530827,0.000026501115,0.101211235,0.8292571,0.03825324],"study_design_scores_gemma":[0.0009612341,0.00015717624,0.0033351486,0.00010445573,0.000063813975,0.000002067221,0.009078883,0.011038902,0.00022251626,0.000096162024,0.974591,0.00034861534],"about_ca_topic_score_codex":0.00020424945,"about_ca_topic_score_gemma":0.00008998399,"teacher_disagreement_score":0.85145193,"about_ca_system_score_codex":0.0016789415,"about_ca_system_score_gemma":0.006256883,"threshold_uncertainty_score":0.9999199},"labels":[],"label_agreement":null},{"id":"W4416414481","doi":"10.3897/biss.9.178687","title":"Mobilising Legacy Georeferencing Efforts","year":2025,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Georeference; Biodiversity; Extinction (optical mineralogy); Workflow; Distribution (mathematics); Representativeness heuristic; Context (archaeology)","score_opus":0.018017696952644945,"score_gpt":0.25764233617184346,"score_spread":0.23962463921919852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416414481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8176272,0.0000866254,0.0004284572,0.001397351,0.0007062871,0.00031458592,0.002160797,0.000048011498,0.1772307],"genre_scores_gemma":[0.9979051,0.0004903305,0.0000216239,0.0015064242,0.0000052166397,0.0000019747697,0.000023380155,6.140279e-7,0.000045332985],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962446,0.000019775292,0.00038013826,0.00032350054,0.0024922625,0.0005397432],"domain_scores_gemma":[0.99843884,0.000024770787,0.00017508975,0.00028331467,0.0008342656,0.00024372796],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033288198,0.00020754558,0.00020157026,0.0003846982,0.0027374716,0.0016639084,0.0004731501,0.00011613765,0.012961491],"category_scores_gemma":[0.0005385879,0.00020357735,0.000058350863,0.001966295,0.0018174204,0.010040762,0.0008929506,0.00016438685,0.00071429694],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044136192,0.00024847843,0.14472681,0.00060732086,0.00008248662,0.000010658249,0.027948903,0.0001730701,0.002138383,0.045123942,0.369313,0.4091856],"study_design_scores_gemma":[0.0014104835,0.00009400883,0.2115488,0.00007054623,0.00005477209,0.000005898143,0.047835723,0.00068922254,0.003124191,0.0000575954,0.7346877,0.00042105786],"about_ca_topic_score_codex":0.0003155539,"about_ca_topic_score_gemma":0.000052033327,"teacher_disagreement_score":0.4087645,"about_ca_system_score_codex":0.004877878,"about_ca_system_score_gemma":0.00078177673,"threshold_uncertainty_score":0.9993725},"labels":[],"label_agreement":null},{"id":"W4416682517","doi":"10.3897/biss.9.180293","title":"The Canadian Genomic Adaptation and Resilience to Climate Change (GenARCC) Project","year":2025,"lang":"","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Agriculture and Agri-Food Canada","funders":"Government of Canada","keywords":"Climate change; Biodiversity; Resilience (materials science); Adaptation (eye); Climate resilience; Psychological resilience; Ecosystem services; Leverage (statistics); Ecosystem","score_opus":0.024834328170271962,"score_gpt":0.24714838389412738,"score_spread":0.22231405572385543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416682517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540808,0.0006043366,0.00009390426,0.014228067,0.00087620184,0.0028068412,0.0075985966,0.00004011813,0.019671129],"genre_scores_gemma":[0.98902124,0.007064553,0.0005101466,0.003328032,0.000009203107,0.00001526854,0.0000071349664,0.0000011429105,0.00004326925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668014,0.00004152777,0.00029028696,0.0004149916,0.0018248245,0.00074819895],"domain_scores_gemma":[0.99892163,0.000048751248,0.00013290529,0.00028007381,0.00025691482,0.00035972125],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.003678347,0.00022535052,0.000161142,0.00047135618,0.011591644,0.0011214212,0.0006418446,0.000093196475,0.0000401293],"category_scores_gemma":[0.0003721773,0.0001933124,0.000030097835,0.0013562486,0.004053728,0.0037088864,0.0016383688,0.00015254987,0.00029560455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031430015,0.00002606748,0.52821475,0.00011552271,0.00003811366,0.0000049354194,0.077193595,0.0001390333,0.0001700327,0.0011330002,0.03593895,0.3567117],"study_design_scores_gemma":[0.00030461248,0.00014302379,0.69730705,0.000031740256,0.000030546424,0.000002283261,0.022752866,0.0007063546,0.00008637111,0.00001146212,0.27838752,0.00023613896],"about_ca_topic_score_codex":0.050453447,"about_ca_topic_score_gemma":0.061906908,"teacher_disagreement_score":0.35647556,"about_ca_system_score_codex":0.004018927,"about_ca_system_score_gemma":0.0005136583,"threshold_uncertainty_score":0.9999155},"labels":[],"label_agreement":null},{"id":"W4416854882","doi":"10.3897/biss.9.180398","title":"Tracking Natural Science Objects and Their Physical and Digital Derivatives in DINA","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Metadata; Context (archaeology); Identifier; Timestamp; Tracking (education); Tracking system; Digital preservation; Data collection; Unique identifier; Natural (archaeology)","score_opus":0.027150511064416002,"score_gpt":0.3162533015106452,"score_spread":0.28910279044622916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416854882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98246557,0.00004684775,0.011516453,0.0010853879,0.0000708659,0.00016071396,0.00007800248,0.000029274534,0.0045469045],"genre_scores_gemma":[0.9994397,0.00012729477,0.00026049194,0.00016248263,0.0000018308086,8.568798e-7,0.0000015296667,1.7393631e-7,0.000005651892],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984458,0.000014585433,0.00009840117,0.00024518216,0.0009602933,0.00023570338],"domain_scores_gemma":[0.9990774,0.000093773626,0.000055189597,0.00017968641,0.0005169084,0.0000770811],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0024208683,0.000076162076,0.00008469935,0.00069303677,0.000765169,0.007085903,0.0007705633,0.000012459597,2.5935597e-7],"category_scores_gemma":[0.0017144284,0.00005945239,0.000007310237,0.0018729663,0.0015507046,0.12576474,0.0016649871,0.00009798147,0.0000010312074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010122716,0.00008151564,0.06474624,0.00020096956,0.00001906797,0.000008313374,0.06640835,0.000012887568,0.002495289,0.1890285,0.00084288634,0.6760548],"study_design_scores_gemma":[0.002366683,0.00034061098,0.81388396,0.00016035546,0.0000081604285,0.000018995868,0.043419007,0.07997785,0.010089458,0.0020410446,0.046964232,0.0007296592],"about_ca_topic_score_codex":0.000018965944,"about_ca_topic_score_gemma":0.0000042781685,"teacher_disagreement_score":0.7491377,"about_ca_system_score_codex":0.00014791619,"about_ca_system_score_gemma":0.00059021474,"threshold_uncertainty_score":0.9939448},"labels":[],"label_agreement":null},{"id":"W4417146198","doi":"10.3897/biss.9.180327","title":"Rescuing the Past to Prepare for the Future: Environmental Data Rescue as a Key Activity of Open Science","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of Regina; Université de Montréal; CBC (Canada); Kelowna General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Custodians; Environmental data; Resource (disambiguation); Open data; Citizen science; Work (physics); Key (lock); Data access","score_opus":0.06716644391240899,"score_gpt":0.3736617022614171,"score_spread":0.3064952583490081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417146198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22157434,0.0001572012,0.6060095,0.13466515,0.0012473431,0.006625553,0.009576039,0.00007866177,0.020066228],"genre_scores_gemma":[0.9940436,0.00041424955,0.0037617742,0.0016555437,0.000016535767,0.000020082281,0.000018548466,5.8196514e-7,0.000069081834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997064,0.000041145646,0.00014224014,0.0003354016,0.002172796,0.00024441566],"domain_scores_gemma":[0.99753964,0.00018184356,0.00011044291,0.0016092804,0.00048096542,0.000077842386],"candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01637387,0.00006831734,0.000076522825,0.00027305016,0.0025673392,0.006155742,0.01355331,0.000014576687,0.0000035657376],"category_scores_gemma":[0.0018875755,0.00004123324,0.000013149159,0.00173621,0.001079682,0.07865166,0.017781936,0.00006924576,0.0000041715216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007516821,0.000104779276,0.004906538,0.00014238484,0.000071445065,0.0000013883565,0.015172955,0.00023080753,0.0015759171,0.17611657,0.22271672,0.5782088],"study_design_scores_gemma":[0.0003259508,0.000099996774,0.019734867,0.000013353356,0.00001185383,0.0000012740616,0.0056915036,0.009260694,0.0012298449,0.000067067704,0.96347386,0.00008972803],"about_ca_topic_score_codex":0.00017991636,"about_ca_topic_score_gemma":0.000054992357,"teacher_disagreement_score":0.7724693,"about_ca_system_score_codex":0.00023144155,"about_ca_system_score_gemma":0.0012719601,"threshold_uncertainty_score":0.9987312},"labels":[],"label_agreement":null},{"id":"W7116897234","doi":"10.3897/biss.9.183306","title":"Using NatureCounts to Support the Kunming-Montreal Global Biodiversity Framework in Canada","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Birds Canada","funders":"","keywords":"Upload; Workflow; Data sharing; Data access; Biodiversity; Measurement of biodiversity; Interface (matter); Raw data; Data security","score_opus":0.01749258606678905,"score_gpt":0.26404252081703294,"score_spread":0.2465499347502439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116897234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974151,0.000004155514,0.00015391699,0.0015320077,0.000280544,0.00015271013,0.003566258,0.000009368332,0.020150045],"genre_scores_gemma":[0.9949458,0.000013121481,0.000043650893,0.0049779317,0.0000014361982,7.1225276e-7,0.000014401846,1.14571556e-7,0.0000028208553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838316,0.000011529945,0.000120486766,0.00013191701,0.0011078006,0.0002450951],"domain_scores_gemma":[0.9995699,0.00001314071,0.00004564683,0.00012369954,0.00014552094,0.00010209415],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082436425,0.0000760558,0.0000769292,0.00005941537,0.000713581,0.00015178495,0.0003383415,0.000038480106,0.001349032],"category_scores_gemma":[0.00024131853,0.0000614282,0.000014555175,0.0013405312,0.00025291796,0.0009554124,0.00040922273,0.000080426886,0.00011860985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005468654,0.0000094121215,0.811748,0.0000064986198,0.0000034114698,0.0000028342038,0.0012308819,0.00008508981,0.000010717578,0.00028968696,0.18055011,0.006008641],"study_design_scores_gemma":[0.00023429253,0.000020372372,0.82586104,0.000006012435,0.0000066665957,0.0000019767497,0.011465396,0.00011836498,0.00006700269,0.000021166015,0.16208518,0.00011254824],"about_ca_topic_score_codex":0.49215004,"about_ca_topic_score_gemma":0.62552583,"teacher_disagreement_score":0.13337582,"about_ca_system_score_codex":0.008570677,"about_ca_system_score_gemma":0.0010286309,"threshold_uncertainty_score":0.9995639},"labels":[],"label_agreement":null},{"id":"W7116975547","doi":"10.3897/biss.9.183171","title":"Working across Scales: Shared Building-Blocks of a Sustainable Infrastructure Environment for Bio/Geodiversity Data","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Pace; Timeline; Scale (ratio); Open data; Resource (disambiguation); Sustainability; Value (mathematics); Data management; Work (physics)","score_opus":0.021565346047243715,"score_gpt":0.27359970743178047,"score_spread":0.2520343613845368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116975547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97667265,0.00002578093,0.005977163,0.0006320944,0.00015723873,0.0005285466,0.009898635,0.000033113425,0.00607479],"genre_scores_gemma":[0.99893296,0.000052178566,0.00042089485,0.00033267646,0.000002994989,0.0000027526555,0.00021424609,5.4673194e-7,0.00004077451],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983638,0.000008017953,0.00017655708,0.00022658022,0.0008988038,0.00032621945],"domain_scores_gemma":[0.999252,0.000019362764,0.00012653678,0.00030834586,0.00020690303,0.000086856264],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016698327,0.00009719214,0.00012269433,0.000094456715,0.0013629287,0.00026089555,0.0006757997,0.00006169548,0.0011694132],"category_scores_gemma":[0.000263298,0.00009242236,0.000027914077,0.00060504396,0.0010654123,0.0023494635,0.0018932418,0.000055449796,0.000016004158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003866778,0.00007342963,0.35121772,0.00013518364,0.00003596299,0.0000018704661,0.008530253,0.00022399552,0.0008153173,0.0038669,0.61594176,0.018770942],"study_design_scores_gemma":[0.00077067286,0.00004403787,0.10703757,0.000008398101,0.00001742801,8.789531e-7,0.030722655,0.0003878967,0.00076231424,0.00005248933,0.86005765,0.0001379874],"about_ca_topic_score_codex":0.0001241911,"about_ca_topic_score_gemma":0.000027713762,"teacher_disagreement_score":0.24418016,"about_ca_system_score_codex":0.0012493634,"about_ca_system_score_gemma":0.00012690808,"threshold_uncertainty_score":0.9999372},"labels":[],"label_agreement":null},{"id":"W7117534599","doi":"10.3897/biss.9.183520","title":"BID Picture Thinking Drives Increased Biodiversity Capacity and Data Access","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Biodiversity; Capacity building; Global biodiversity; Latin Americans; Capacity development; Distribution (mathematics)","score_opus":0.0394234096523928,"score_gpt":0.28558142974636364,"score_spread":0.24615802009397084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117534599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750784,0.000013517756,0.00030060904,0.0011981217,0.0001226335,0.00014236655,0.004982821,0.00004737945,0.018114168],"genre_scores_gemma":[0.9969828,0.00018050689,0.00007790379,0.0025993804,0.000002898181,6.786364e-7,0.00015015953,2.9033384e-7,0.0000053834747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840933,0.000017722945,0.000117656484,0.00023550676,0.0010213775,0.00019842164],"domain_scores_gemma":[0.99933064,0.000019842213,0.0000751141,0.0002759913,0.00017734348,0.00012104607],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014811289,0.0000967616,0.00009845903,0.00013571915,0.0014795309,0.00062432257,0.0007734856,0.000055871227,0.0015441695],"category_scores_gemma":[0.00035778276,0.00008572952,0.000013355703,0.0007252039,0.0010479379,0.005982812,0.0023027435,0.00008330848,0.000081382874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007461335,0.000026327329,0.71305436,0.000051587976,0.000014872367,0.000001546787,0.0049631004,0.0000053460303,0.00030080587,0.0011575457,0.27534327,0.0050065904],"study_design_scores_gemma":[0.0006252943,0.000024497296,0.6829946,0.00001013847,0.000025617137,0.0000029969835,0.007933722,0.00026171337,0.00061710196,0.000080277256,0.30723503,0.0001890291],"about_ca_topic_score_codex":0.00071407645,"about_ca_topic_score_gemma":0.00015559132,"teacher_disagreement_score":0.031891745,"about_ca_system_score_codex":0.0007403019,"about_ca_system_score_gemma":0.0001293593,"threshold_uncertainty_score":0.9998204},"labels":[],"label_agreement":null},{"id":"W7117549768","doi":"10.3897/biss.9.183444","title":"What Data Do We Need, and What Data Do We Have for Monitoring Global Biodiversity?","year":2025,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Selection (genetic algorithm); Environmental data; Natural resource; Ecological forecasting; Biodiversity","score_opus":0.06244062761135277,"score_gpt":0.3116094164964554,"score_spread":0.24916878888510263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117549768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80662054,0.007709573,0.0024410018,0.045061603,0.0049250918,0.0017613751,0.12339126,0.00021305606,0.007876515],"genre_scores_gemma":[0.710748,0.2806836,0.0011168312,0.0036102259,0.00008189607,0.000013575483,0.003626147,0.0000035135274,0.000116174924],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980119,0.000013076767,0.00017622314,0.00039139952,0.0011026673,0.00030476638],"domain_scores_gemma":[0.9988777,0.000029849343,0.00009947557,0.0006172349,0.00021266063,0.00016308605],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0015829136,0.00013499183,0.00013300788,0.000101926846,0.0012714994,0.003153337,0.0011483298,0.000072050425,0.00060837617],"category_scores_gemma":[0.0002121,0.00012751487,0.000019281737,0.0006125958,0.0007789919,0.029783908,0.0034266466,0.00006250362,0.00012247959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020838207,0.00004571503,0.14577249,0.000114026516,0.000028112701,0.0000021223602,0.004299418,0.0000073674146,0.00006226145,0.00048441064,0.563124,0.28585166],"study_design_scores_gemma":[0.0007450117,0.000036949317,0.013126483,0.000059674472,0.00003235533,0.0000030646784,0.1376662,0.00029597,0.000119606564,0.00004793862,0.84768784,0.0001788924],"about_ca_topic_score_codex":0.000095254756,"about_ca_topic_score_gemma":0.000046602345,"teacher_disagreement_score":0.28567278,"about_ca_system_score_codex":0.0009080005,"about_ca_system_score_gemma":0.00013040038,"threshold_uncertainty_score":0.9978815},"labels":[],"label_agreement":null}]}