{"meta":{"query_hash":"05c462076aa7","filters":{"venue":"Journal of eScience Librarianship"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/05c462076aa7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+eScience+Librarianship"},"results":[{"id":"W1465657245","doi":"10.7191/jeslib.2015.1079","title":"En Français S'il Vous Plaît: Translation and Adaptation of the New England Collaborative Data Management Curriculum’s Introductory Module","year":2015,"lang":"fr","type":"article","venue":"Journal of eScience Librarianship","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":"Université de Montréal","funders":"","keywords":"Curriculum; Adaptation (eye); Data management; Computer science; Library science; Mathematics education; Medical education; Sociology; Pedagogy; Psychology; Medicine; Database","score_opus":0.17250767494380373,"score_gpt":0.324639648186782,"score_spread":0.15213197324297825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1465657245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03832693,0.027629912,0.81166106,0.110991694,0.005719824,0.0011178502,0.00015665992,0.000022006527,0.004374067],"genre_scores_gemma":[0.67528564,0.005322679,0.31209156,0.00032275557,0.0017501161,0.0000044198114,0.000018293309,0.000028195935,0.0051763253],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520236,0.0012821392,0.0008066471,0.000547103,0.0017940974,0.00036764017],"domain_scores_gemma":[0.99630916,0.0005254094,0.0010747336,0.0013071323,0.00040086007,0.0003826976],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.006966426,0.00020096479,0.0002952765,0.00034601748,0.00018652629,0.002107648,0.004837747,0.00008590808,0.000016411936],"category_scores_gemma":[0.0020093177,0.00014907034,0.000048047372,0.0022206923,0.00044999862,0.069830365,0.001368141,0.00050711795,0.000005858218],"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":[0.00028751465,0.000550501,0.014423443,0.00035734297,0.0002810026,0.00016648187,0.036676105,0.0101461755,0.00020974266,0.19787297,0.03702053,0.7020082],"study_design_scores_gemma":[0.0038613912,0.00091596745,0.046164587,0.0005358184,0.00024055564,0.00015553154,0.0073623294,0.29895356,0.00024598927,0.006534115,0.63465816,0.00037203345],"about_ca_topic_score_codex":0.0003207152,"about_ca_topic_score_gemma":0.00015348458,"teacher_disagreement_score":0.70163614,"about_ca_system_score_codex":0.00006439291,"about_ca_system_score_gemma":0.0013055872,"threshold_uncertainty_score":0.99892825},"labels":[],"label_agreement":null},{"id":"W1979070752","doi":"10.7191/jeslib.2014.1061","title":"The New England Collaborative Data Management Curriculum Pilot at the University of Manitoba: A Canadian Experience","year":2014,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Research Data Management Practices","field":"Computer Science","cited_by":5,"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 Manitoba","funders":"","keywords":"Curriculum; Data management; New england; Library science; Medical education; Computer science; Sociology; Political science; Medicine; Pedagogy; Database","score_opus":0.08100423073144579,"score_gpt":0.2879438046269408,"score_spread":0.206939573895495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979070752","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":[0.09236037,0.0019724993,0.66500664,0.1670331,0.0031062306,0.001537936,0.00006480217,0.000057080317,0.06886131],"genre_scores_gemma":[0.96769345,0.0015741292,0.026149446,0.00054391206,0.0002474039,0.0000010849687,0.0000036192416,0.0000089305195,0.0037780174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974448,0.00056194514,0.00028411185,0.00034549768,0.0009576942,0.0004059453],"domain_scores_gemma":[0.99641764,0.0007130366,0.00052673573,0.0018213678,0.0001561584,0.00036505784],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003942645,0.00011105785,0.0001387447,0.00017678789,0.0009803815,0.0017337312,0.0130397985,0.000021030643,0.000019256373],"category_scores_gemma":[0.00085412787,0.000065389424,0.00003101362,0.0015095865,0.00045456114,0.023452187,0.0026222663,0.00024296755,0.00001510261],"study_design_candidate":"not_applicable","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":[0.00014316873,0.00012563157,0.020408347,0.000032737007,0.00013266027,0.0002976896,0.0039586285,0.00025140314,0.00016057536,0.7743479,0.14505583,0.05508545],"study_design_scores_gemma":[0.0006685396,0.0003152831,0.030517582,0.000048727376,0.000020249581,0.00003602087,0.005369679,0.005355633,0.000083473686,0.0015329715,0.95592207,0.00012978642],"about_ca_topic_score_codex":0.0064463895,"about_ca_topic_score_gemma":0.061104894,"teacher_disagreement_score":0.8753331,"about_ca_system_score_codex":0.000112114605,"about_ca_system_score_gemma":0.00072669855,"threshold_uncertainty_score":0.99930257},"labels":[],"label_agreement":null},{"id":"W2239105819","doi":"10.7191/jeslib.2015.1085","title":"Research Data Services in Academic Libraries: Data Intensive Roles for the Future?","year":2015,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Research Data Management Practices","field":"Computer Science","cited_by":103,"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":"Academic library; Service (business); Stratified sampling; Sample (material); Survey data collection; Library science; Public relations; Political science; Business; Psychology; Computer science; Marketing; Statistics; Mathematics","score_opus":0.5760048811854739,"score_gpt":0.48253008299476186,"score_spread":0.09347479819071203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239105819","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075093065,0.024805672,0.49185413,0.4678672,0.0038824526,0.0015924028,0.00021472738,0.00008063054,0.0021934612],"genre_scores_gemma":[0.53729635,0.01616155,0.41901407,0.014228654,0.010776083,0.00007432807,0.00026625904,0.000117129595,0.0020655699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.994323,0.00089962856,0.0007499778,0.0008404728,0.0024037492,0.00078313507],"domain_scores_gemma":[0.98727953,0.005116418,0.0006447195,0.0056496984,0.00087857916,0.0004310631],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["metaresearch","scholarly_communication","open_science"],"category_scores_codex":[0.03288246,0.00016333736,0.00026957216,0.0007998267,0.00032612841,0.007304121,0.05750553,0.00010872739,0.000004544506],"category_scores_gemma":[0.008808945,0.00010140583,0.000034624485,0.0030668834,0.00045813023,0.20987779,0.017114311,0.0016835673,0.000013601101],"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":[0.00050756556,0.00016223756,0.011218186,0.00015045117,0.00009813113,0.00024327342,0.0053720986,0.00032790462,0.00018139047,0.6633213,0.26947227,0.048945185],"study_design_scores_gemma":[0.0011337786,0.0003988389,0.008809464,0.00026030047,0.00002133225,0.00011460569,0.038778357,0.17722476,0.00014505237,0.044466034,0.72838736,0.00026011525],"about_ca_topic_score_codex":0.000051327304,"about_ca_topic_score_gemma":0.00009838688,"teacher_disagreement_score":0.6188553,"about_ca_system_score_codex":0.000052106432,"about_ca_system_score_gemma":0.0019609425,"threshold_uncertainty_score":0.99954027},"labels":[],"label_agreement":null},{"id":"W2750859426","doi":"10.7191/jeslib.2017.1114","title":"Using Peer Review to Support Development of Community Resources for Research Data Management","year":2017,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Data management; Outreach; Computer science; Data quality; Data sharing; Process (computing); Currency; Knowledge management; Process management; Engineering management; Business; Engineering; Political science; Operations management; Data mining","score_opus":0.8559943669589536,"score_gpt":0.5786205222715999,"score_spread":0.2773738446873537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750859426","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018728137,0.0007632821,0.9038324,0.059730686,0.00061955,0.0014948057,0.00003566986,0.00002050977,0.014774969],"genre_scores_gemma":[0.06666388,0.0005222054,0.9295139,0.00073963404,0.00011517588,0.000012238801,0.0000068331747,0.000014086728,0.0024120808],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99405456,0.00078543165,0.00087812543,0.00035415424,0.0033601478,0.00056758255],"domain_scores_gemma":[0.9915294,0.0008179258,0.0011096557,0.0050741415,0.0011357282,0.00033313493],"candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","scholarly_communication","open_science"],"category_scores_codex":[0.065460615,0.00012715603,0.00032852322,0.00060887996,0.0017703465,0.0042971135,0.03051072,0.00003369344,0.000012821684],"category_scores_gemma":[0.011785965,0.00010289008,0.000058791295,0.0007655585,0.0002915004,0.046222754,0.012577689,0.0005878988,0.0000070619703],"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":[0.0002983705,0.0011905886,0.005211273,0.006941991,0.00037934582,0.00023545287,0.007414406,0.0000779907,0.0021865107,0.2271003,0.33482248,0.4141413],"study_design_scores_gemma":[0.0006044253,0.0005880058,0.03576803,0.0026629416,0.000042102194,0.000040798306,0.0012144817,0.0009626706,0.0012308309,0.0030831909,0.9535235,0.00027899642],"about_ca_topic_score_codex":0.000027344973,"about_ca_topic_score_gemma":0.000013342783,"teacher_disagreement_score":0.61870104,"about_ca_system_score_codex":0.0000724886,"about_ca_system_score_gemma":0.0006667431,"threshold_uncertainty_score":0.99952924},"labels":[],"label_agreement":null},{"id":"W2795569399","doi":"10.7191/jeslib.2018.1153","title":"Space for Listening: using a library unConference as an alternative method of communication","year":2018,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Research Data Management Practices","field":"Computer 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 Guelph","funders":"","keywords":"RDM; Outreach; Conversation; Exhibition; Space (punctuation); Library science; Scholarly communication; World Wide Web; Computer science; Sociology; Public relations; Political science; Publishing","score_opus":0.25347374936908607,"score_gpt":0.4400836801852588,"score_spread":0.18660993081617272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795569399","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020164324,0.00008023417,0.96904343,0.0037939367,0.00025170605,0.00021125488,0.00000582692,0.00002072557,0.0064285756],"genre_scores_gemma":[0.29345605,0.0000650112,0.70588124,0.00021487601,0.00013568113,0.0000019529095,0.0000013502472,0.000008041034,0.00023579052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973873,0.00073136605,0.00053349184,0.0003195338,0.00072840485,0.00029993008],"domain_scores_gemma":[0.99582034,0.0012000211,0.0012792783,0.0010640201,0.00041292282,0.00022339908],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0037613765,0.0001248609,0.00024570245,0.00047689263,0.00023648779,0.0023492768,0.0064303637,0.0000482253,0.000023635144],"category_scores_gemma":[0.0017477052,0.00010353135,0.00008318552,0.001120279,0.00035490704,0.104882844,0.00097108295,0.00025549333,0.0000020670477],"study_design_candidate":"theoretical_or_conceptual","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":[0.000117416894,0.00011213198,0.0012408833,0.000024087221,0.000030389541,0.000009961185,0.0019645123,0.00011809765,0.0060350173,0.98325294,0.00028793156,0.006806623],"study_design_scores_gemma":[0.0015865839,0.0047176024,0.0048408597,0.00061534747,0.00006738342,0.0002685849,0.002076246,0.43405887,0.1375238,0.37990475,0.033799224,0.00054076756],"about_ca_topic_score_codex":0.00005474671,"about_ca_topic_score_gemma":0.000003541467,"teacher_disagreement_score":0.6033482,"about_ca_system_score_codex":0.000025596179,"about_ca_system_score_gemma":0.00079191994,"threshold_uncertainty_score":0.9989453},"labels":[],"label_agreement":null},{"id":"W3199519791","doi":"10.7191/jeslib.2021.1206","title":"Computational Reproducibility: A Practical Framework for Data Curators","year":2021,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":true,"ca_institutions":"University of Victoria; Mount Saint Vincent University","funders":"","keywords":"Reproducibility; Data curation; Computer science; Data science; Focus (optics); Best practice; Chemistry; Political science","score_opus":0.5691208347646384,"score_gpt":0.513880646528131,"score_spread":0.05524018823650734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199519791","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016329033,0.0001561958,0.941459,0.037426002,0.003717515,0.00011568405,0.00005372513,0.000016614553,0.000726202],"genre_scores_gemma":[0.24818362,0.0000025754457,0.7492834,0.0012895791,0.00061874377,0.000001003193,0.000017201555,0.000007348806,0.0005965309],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99379504,0.00042273273,0.0013241179,0.0016004968,0.0025467577,0.00031086637],"domain_scores_gemma":[0.9792196,0.012462762,0.0012135684,0.0053536277,0.0014011646,0.00034924544],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.034601737,0.000115813105,0.00032264928,0.0002920238,0.00032298063,0.002062084,0.002935292,0.00006220561,0.00026390466],"category_scores_gemma":[0.20030187,0.000083572195,0.000144796,0.0024374737,0.00025168466,0.003926237,0.0011964585,0.00032136956,0.000041148494],"study_design_candidate":"theoretical_or_conceptual","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":[0.00013298685,0.00050673186,0.019783037,0.000018399458,0.000046422945,0.00020037168,0.0006160181,0.004512711,0.00007397959,0.42064217,0.4741042,0.079362996],"study_design_scores_gemma":[0.00029875073,0.00009833696,0.009881149,0.00006186953,0.000027768998,0.0002485374,0.001349059,0.06766636,0.00016372332,0.7731751,0.14688183,0.00014751204],"about_ca_topic_score_codex":0.0000012209748,"about_ca_topic_score_gemma":0.0000012391727,"teacher_disagreement_score":0.35253295,"about_ca_system_score_codex":0.000026405436,"about_ca_system_score_gemma":0.0015722606,"threshold_uncertainty_score":0.99897385},"labels":[],"label_agreement":null},{"id":"W3200944274","doi":"10.7191/jeslib.2021.1201","title":"Creating Guidance for Canadian Dataverse Curators: Portage Network’s Dataverse Curation Guide","year":2021,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":"Dalhousie University; Canadian Association of Research Libraries; Université de Montréal; Wilfrid Laurier University; McMaster University; Queen's University","funders":"Arizona Biomedical Research Commission; Canadian Association of Research Libraries; Association of Research Libraries","keywords":"Data curation; Digital curation; Workflow; Metadata; Computer science; World Wide Web; Resource (disambiguation); Data science; Database","score_opus":0.09503263367957987,"score_gpt":0.33769195486999787,"score_spread":0.242659321190418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200944274","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00085189426,0.0001406101,0.9787434,0.0055270726,0.0013157472,0.0002694272,0.00007187089,0.000031753014,0.0130482325],"genre_scores_gemma":[0.07704883,0.0004400679,0.9118395,0.003774138,0.0016569378,0.00001698613,0.00012445363,0.00003312479,0.0050659967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996703,0.0002922856,0.000820495,0.0005364746,0.0009034649,0.0007442335],"domain_scores_gemma":[0.9958613,0.0006702217,0.0010694601,0.0012984289,0.00048792825,0.00061266735],"candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0047581736,0.00017126581,0.00024724362,0.0003344991,0.0006021927,0.005307185,0.004047816,0.000065313885,0.0001129812],"category_scores_gemma":[0.007973561,0.00015933493,0.000105715124,0.0016016149,0.00010214832,0.11798874,0.00060896936,0.00033340268,0.000034738507],"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":[0.000025543535,0.000069675414,0.007540632,0.00006308848,0.000058197336,0.0011655672,0.0003273891,0.0018698127,0.00094691897,0.81628144,0.16277714,0.008874611],"study_design_scores_gemma":[0.00046056276,0.00012903138,0.003822553,0.0001704729,0.00002273737,0.00016297492,0.0004557826,0.02289709,0.000743418,0.0039578993,0.9669294,0.00024808335],"about_ca_topic_score_codex":0.0011601174,"about_ca_topic_score_gemma":0.003748925,"teacher_disagreement_score":0.8123235,"about_ca_system_score_codex":0.0001541806,"about_ca_system_score_gemma":0.0035864818,"threshold_uncertainty_score":0.9957254},"labels":[],"label_agreement":null},{"id":"W3213980078","doi":"10.7191/jeslib.2021.1220","title":"Data Management for Systematic Reviews: Guidance is Needed","year":2021,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","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":"University of Calgary","funders":"","keywords":"Systematic review; Transparency (behavior); Best practice; Data management plan; Computer science; Data management; Data sharing; Protocol (science); Plan (archaeology); Process (computing); Process management; Knowledge management; Data extraction; Data science; Management science; Engineering; MEDLINE; Data mining; Medicine; Political science","score_opus":0.8978865292113629,"score_gpt":0.5569794916163165,"score_spread":0.34090703759504637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213980078","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003599579,0.04093168,0.89732426,0.02526982,0.0032677283,0.0048654047,0.00014905854,0.000009281873,0.024583211],"genre_scores_gemma":[0.06747575,0.0011762914,0.7873594,0.017110283,0.0013547884,0.00016388677,0.000020689344,0.000060939063,0.12527794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.968658,0.0080002295,0.015848923,0.0010354028,0.006082782,0.0003747153],"domain_scores_gemma":[0.96433765,0.007565776,0.016681913,0.00904891,0.0019796852,0.0003860812],"candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.21166617,0.00029230837,0.00453332,0.0004560014,0.00022103307,0.0028559505,0.008911039,0.00006870506,0.002606384],"category_scores_gemma":[0.10533037,0.0001340118,0.0018491183,0.003246432,0.00008296117,0.002883778,0.00055488537,0.00017935474,0.0006492439],"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":[0.000010535394,0.00009215848,0.0011101301,0.0076857163,0.00024913295,0.000069549315,0.00052001374,0.000022961116,0.00016106026,0.018489646,0.9673205,0.0042686136],"study_design_scores_gemma":[0.0007206853,0.00012121891,0.0014171759,0.011562916,0.0012350398,0.0004721472,0.00846488,0.012771475,0.0003331146,0.037796058,0.9246182,0.00048709405],"about_ca_topic_score_codex":4.5233384e-7,"about_ca_topic_score_gemma":0.0000017075737,"teacher_disagreement_score":0.1099648,"about_ca_system_score_codex":0.000031032418,"about_ca_system_score_gemma":0.00026516788,"threshold_uncertainty_score":0.9983054},"labels":[],"label_agreement":null},{"id":"W4200387823","doi":"10.7191/jeslib.2021.1232","title":"Data Soup Webinar, December 16, 2021: hosted by the Data Curation Network and the Journal of eScience Librarianship","year":2021,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":"Data curation; Library science; Data archive; Digital curation; Research data; World Wide Web; Computer science; Information retrieval","score_opus":0.17326491981541456,"score_gpt":0.34491260510524674,"score_spread":0.17164768528983218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200387823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044636256,0.011265985,0.8704126,0.10708009,0.0021070833,0.0003847786,0.00008791015,0.00001899655,0.004178973],"genre_scores_gemma":[0.7727472,0.025236636,0.18307474,0.009742817,0.004259966,0.00000824659,0.00017025652,0.00008628734,0.0046738517],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9916955,0.002906034,0.0013248192,0.00073514733,0.002624183,0.0007142796],"domain_scores_gemma":[0.9868163,0.0051190457,0.0023211173,0.0048603313,0.0004770586,0.0004061574],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.024822045,0.0002627487,0.0004545721,0.00022439756,0.00092915044,0.01188057,0.026076801,0.00009129477,0.000066119435],"category_scores_gemma":[0.010422768,0.00014557753,0.00008468844,0.0035276618,0.0012130528,0.16038454,0.0091734575,0.001275807,0.0000071429836],"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":[0.00047483222,0.0002826918,0.0043925615,0.000054506054,0.00020626474,0.0003088306,0.0009362931,0.0005668977,0.00138334,0.21228907,0.7471605,0.03194423],"study_design_scores_gemma":[0.0059520905,0.0008739436,0.012799383,0.00075382326,0.0004429756,0.005663765,0.0042071217,0.18256718,0.0013410955,0.03828351,0.7461638,0.000951347],"about_ca_topic_score_codex":0.0000247071,"about_ca_topic_score_gemma":0.000046267392,"teacher_disagreement_score":0.7682836,"about_ca_system_score_codex":0.000041408784,"about_ca_system_score_gemma":0.0020357214,"threshold_uncertainty_score":0.99884015},"labels":[],"label_agreement":null},{"id":"W4318021337","doi":"10.7191/jeslib.624","title":"There's no \"I\" in Research Data Management: Reshaping RDM Services Toward a Collaborative Multi-Stakeholder Model","year":2023,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Research Data Management Practices","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"RDM; Knowledge management; Stakeholder; Computer science; Service (business); Data management; World Wide Web; Public relations; Business; Political science; Database","score_opus":0.7485915573649452,"score_gpt":0.489634210264553,"score_spread":0.2589573471003922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318021337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07614661,0.0034127051,0.73578113,0.09241442,0.0025199454,0.003540437,0.00021758054,0.0005504877,0.08541667],"genre_scores_gemma":[0.56094307,0.004560022,0.42410582,0.0014577454,0.0003434056,0.000049161637,0.00003519141,0.000062299594,0.008443249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934841,0.0010383163,0.0007716524,0.0009396295,0.0027436488,0.00102269],"domain_scores_gemma":[0.9955517,0.0008761137,0.00047771804,0.0022839229,0.0005170946,0.00029345305],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0188272,0.00020075042,0.0003019138,0.0022447924,0.00035287414,0.0064837597,0.017049698,0.000079188765,0.000015121155],"category_scores_gemma":[0.0012951536,0.00016671848,0.00004450785,0.009872229,0.0002812408,0.09979646,0.0073617226,0.0009934384,0.00014714937],"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":[0.00055528316,0.0012031833,0.016114881,0.0015159788,0.00031735428,0.007996379,0.016493028,0.02723006,0.0030570894,0.8451086,0.058045182,0.022362927],"study_design_scores_gemma":[0.0012109635,0.00018786213,0.016083093,0.00056568714,0.000009327102,0.000011804825,0.005910119,0.9442731,0.00015426501,0.008783587,0.022505514,0.00030468294],"about_ca_topic_score_codex":0.000041120747,"about_ca_topic_score_gemma":0.00004812745,"teacher_disagreement_score":0.91704303,"about_ca_system_score_codex":0.00009793516,"about_ca_system_score_gemma":0.000638649,"threshold_uncertainty_score":0.9945476},"labels":[],"label_agreement":null},{"id":"W4319662495","doi":"10.7191/jeslib.670","title":"Special Issue: 2022 Research Data Access and Preservation (RDAP) Summit","year":2023,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":"University of Regina","funders":"","keywords":"Summit; Theme (computing); Research data; Computer science; Political science; World Wide Web; Data science; Geography; Cartography","score_opus":0.5796832604062911,"score_gpt":0.4926165552489745,"score_spread":0.08706670515731663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319662495","genre_codex":"commentary","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":[0.112539716,0.0010898302,0.17424196,0.50920945,0.0129361125,0.0022461838,0.00012969566,0.00045660697,0.18715043],"genre_scores_gemma":[0.40809694,0.041823905,0.23973477,0.0055313534,0.11902426,0.00010623177,0.00033356823,0.00027590728,0.18507308],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99472183,0.00077658246,0.000492154,0.0006399886,0.0027401824,0.0006292601],"domain_scores_gemma":[0.9955103,0.0016376455,0.00035954494,0.0018834485,0.00029938467,0.00030971435],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.018684201,0.00011294877,0.00018460999,0.0012929153,0.00047101424,0.012714497,0.017051777,0.000055351513,0.00011997215],"category_scores_gemma":[0.0077808844,0.000093982955,0.000028822516,0.005877553,0.0003057867,0.22585759,0.010920496,0.00076723215,0.00007527916],"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":[0.000050254323,0.00006906168,0.021768525,0.000054764063,0.000022165399,0.00025642503,0.00033239336,0.00003726405,0.00029250342,0.14839034,0.7860683,0.042657997],"study_design_scores_gemma":[0.00036012445,0.00021973284,0.119316526,0.00006481469,0.0000060392713,0.00002263496,0.00035479382,0.019064704,0.00021778814,0.01708169,0.84313655,0.00015462333],"about_ca_topic_score_codex":0.000031975425,"about_ca_topic_score_gemma":0.000021586238,"teacher_disagreement_score":0.5036781,"about_ca_system_score_codex":0.00003583316,"about_ca_system_score_gemma":0.00053841795,"threshold_uncertainty_score":0.997079},"labels":[],"label_agreement":null},{"id":"W4389964982","doi":"10.7191/jeslib.862","title":"Special Issue: 2023 Research Data Access and Preservation (RDAP) Summit","year":2023,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","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":"Queen's University","funders":"","keywords":"Summit; World Wide Web; Data science; Theme (computing); Computer science; Geography; Cartography","score_opus":0.6084863932464564,"score_gpt":0.496831382646432,"score_spread":0.11165501060002436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389964982","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087797776,0.00088789035,0.16438855,0.48961723,0.0126745105,0.002178087,0.00013858547,0.00043133931,0.24188602],"genre_scores_gemma":[0.34033164,0.034480207,0.2564334,0.0047807842,0.12219768,0.00009656433,0.0003208402,0.00026154408,0.24109735],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948636,0.00071932113,0.0005080165,0.0006441487,0.002613068,0.0006518178],"domain_scores_gemma":[0.99538994,0.0017400045,0.00035877436,0.0018706692,0.00031853217,0.00032209518],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.01776718,0.00011691679,0.0001912908,0.0013016826,0.00044767477,0.0134274475,0.016784757,0.0000600442,0.000104756524],"category_scores_gemma":[0.008169468,0.00009676999,0.000029673369,0.0060230126,0.0003184442,0.22391315,0.010253128,0.00072366465,0.00012242867],"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":[0.000045635836,0.00006161385,0.017700342,0.00005676338,0.00002230651,0.00024896636,0.0002593371,0.00004347712,0.00020491584,0.121072285,0.8269889,0.03329551],"study_design_scores_gemma":[0.00035536592,0.00020881354,0.13351943,0.00007988005,0.000006153047,0.000020634994,0.0003270019,0.018394537,0.00017225092,0.01649947,0.8302596,0.00015681164],"about_ca_topic_score_codex":0.000044021403,"about_ca_topic_score_gemma":0.000028229826,"teacher_disagreement_score":0.48483646,"about_ca_system_score_codex":0.00003409143,"about_ca_system_score_gemma":0.00052774325,"threshold_uncertainty_score":0.9977518},"labels":[],"label_agreement":null},{"id":"W4400400816","doi":"10.7191/jeslib.935","title":"Navigating the Currents: Reflections from the Community Data Toolkits Workshop","year":2024,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Intellectual Property Law","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":"Computer science; World Wide Web","score_opus":0.4633645650666481,"score_gpt":0.4667584346318828,"score_spread":0.0033938695652347417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400400816","genre_codex":"commentary","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":[0.3564665,0.013313777,0.009990337,0.4724555,0.02065299,0.0008287666,0.00014487837,0.00031178052,0.12583548],"genre_scores_gemma":[0.9949201,0.00015929878,0.00084114634,0.001622804,0.001942207,0.0000017415541,0.0000035013747,0.00001173533,0.0004974993],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99626166,0.0019758153,0.00042640686,0.00017269816,0.00083253474,0.00033091448],"domain_scores_gemma":[0.99221224,0.0066037155,0.00018536433,0.0007496714,0.00012794198,0.00012106861],"candidate_categories":["sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0073637804,0.000108105356,0.00013361475,0.000029256358,0.003591621,0.0020703513,0.0048217676,0.00007822103,0.00027386684],"category_scores_gemma":[0.008083678,0.000052481733,0.00009389432,0.0016016974,0.0011969719,0.003729517,0.00049482466,0.0030585388,0.000057957102],"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":[0.000071613846,0.00023329745,0.0017752149,0.0000214527,0.00017499819,0.000048686245,0.47405073,0.00019758566,0.0010790994,0.11402673,0.2274989,0.18082169],"study_design_scores_gemma":[0.00011973151,0.00008598952,0.0010828993,0.0012260333,0.00008243638,0.000049378454,0.10143115,0.002298487,0.00020108969,0.032567237,0.8606289,0.000226656],"about_ca_topic_score_codex":0.0020891046,"about_ca_topic_score_gemma":0.0021055166,"teacher_disagreement_score":0.63845354,"about_ca_system_score_codex":0.00008266561,"about_ca_system_score_gemma":0.00097612944,"threshold_uncertainty_score":0.9992415},"labels":[],"label_agreement":null},{"id":"W4400401143","doi":"10.7191/jeslib.907","title":"Identifying metadata commonalities across restricted health data sources: A mixed methods study exploring how to improve the discovery of and access to restricted datasets","year":2024,"lang":"en","type":"article","venue":"Journal of eScience Librarianship","topic":"Intellectual Property Law","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":false,"ca_institutions":"Toronto Dementia Research Alliance; University of Toronto; National Research Council Canada; Canadian Respiratory Research Network; University of Saskatchewan","funders":"","keywords":"Computer science; Chemistry","score_opus":0.4708980200227392,"score_gpt":0.48731161997818834,"score_spread":0.01641359995544911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400401143","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":[0.9023422,0.002321972,0.04930628,0.040261816,0.002775746,0.0014666893,0.0013205445,0.00006674917,0.00013802583],"genre_scores_gemma":[0.9891525,0.00019041373,0.009099698,0.0006533739,0.00045183787,0.000019320063,0.000018652272,0.000025814492,0.00038839868],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9936243,0.0027476684,0.00091845443,0.0006203164,0.0014087971,0.000680406],"domain_scores_gemma":[0.99440444,0.0034398236,0.0004754354,0.0010986071,0.0001608735,0.00042084107],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.011773017,0.00022009813,0.00053776754,0.00040961034,0.0011685404,0.00886348,0.005402437,0.000058101967,0.000010079205],"category_scores_gemma":[0.010379517,0.00013904995,0.00007376277,0.0035886078,0.0005727951,0.021153152,0.0030679645,0.0006036788,0.00000143291],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010949266,0.00080915244,0.007961748,0.0007235053,0.00085347804,0.00029018256,0.68730867,0.000171448,0.014435448,0.03179334,0.10215038,0.1524077],"study_design_scores_gemma":[0.000987953,0.0026720865,0.06906988,0.0020141222,0.00031958506,0.00007876974,0.747316,0.0010173783,0.0071791257,0.004506784,0.1637592,0.0010790889],"about_ca_topic_score_codex":0.0033633763,"about_ca_topic_score_gemma":0.0020719427,"teacher_disagreement_score":0.15132862,"about_ca_system_score_codex":0.000112605565,"about_ca_system_score_gemma":0.0013397185,"threshold_uncertainty_score":0.99997884},"labels":[],"label_agreement":null}]}