{"meta":{"query_hash":"c72d2ff683cd","filters":{"venue":"Journal of Forest Science"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/c72d2ff683cd","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Forest+Science"},"results":[{"id":"W1793746226","doi":"10.17221/44/2012-jfs","title":"Growth of Norway spruce seedlings after transplanting into silty soil amended with biochar: a bioassay in a growth chamber","year":2013,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":18,"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":"Seedling; Agronomy; Picea abies; Soil water; Biochar; Biomass (ecology); Carbon sequestration; Transplanting; Environmental science; Taiga; Shoot; Biology; Botany; Ecology; Chemistry; Soil science; Pyrolysis; Carbon dioxide","score_opus":0.005407747486185373,"score_gpt":0.19968885168504974,"score_spread":0.19428110419886438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1793746226","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":[0.9976955,0.00008112763,0.00044918,0.0005196549,0.00011485086,0.0001407073,0.000001558111,0.0000065785957,0.0009908337],"genre_scores_gemma":[0.996406,0.000049117443,0.0033150234,0.00013936941,0.00003814506,0.000008022198,1.537381e-7,0.0000106319985,0.0000335356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976169,0.000038109167,0.00055273797,0.0002933994,0.0009986327,0.0005002419],"domain_scores_gemma":[0.99902546,0.000096333715,0.00038174438,0.00014097278,0.00014314622,0.00021231848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012141225,0.00019659566,0.00034297403,0.0002481931,0.0001510136,0.000062066996,0.00048132692,0.000050652994,0.00015126332],"category_scores_gemma":[0.0001735171,0.0001303297,0.0000870371,0.0012726741,0.0012303845,0.0010354974,0.00012445026,0.00024597623,0.00006150836],"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":[0.00009649527,0.00009269325,0.9452034,0.000031385072,0.000010268426,0.000039116894,0.002730197,0.00026106543,0.051174846,0.000082479695,0.000028661849,0.00024938464],"study_design_scores_gemma":[0.00062944676,0.000311121,0.9724483,0.00018327606,0.000015288444,0.00008537245,0.00035618027,0.00044171338,0.023632644,0.001674085,0.000010733458,0.00021182458],"about_ca_topic_score_codex":0.0025987749,"about_ca_topic_score_gemma":0.0012007753,"teacher_disagreement_score":0.0275422,"about_ca_system_score_codex":0.00012915123,"about_ca_system_score_gemma":0.00007295861,"threshold_uncertainty_score":0.5314691},"labels":[],"label_agreement":null},{"id":"W2115085898","doi":"10.17221/794-jfs","title":"Effect of provenance on the volume increment of grand fir (Abies grandis Lindl.) under mountain conditions of Poland","year":2008,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":13,"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":"Provenance; Volume (thermodynamics); Douglas fir; Forestry; Biology; Botany; Geography; Horticulture; Physics","score_opus":0.013985567645617066,"score_gpt":0.2289603138237113,"score_spread":0.21497474617809423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115085898","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":[0.9982183,0.00016538007,0.0000031932161,0.0011307963,0.00008493775,0.00012945135,0.000046104906,0.0000015223252,0.00022030732],"genre_scores_gemma":[0.9997346,0.00013852239,0.000013617457,0.00004198356,0.00003293962,0.0000020430523,7.0635974e-7,2.754072e-7,0.000035339006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903375,0.000084117455,0.00031475135,0.00008271362,0.00034478176,0.00013989754],"domain_scores_gemma":[0.99861413,0.0006720055,0.00046795336,0.00004129508,0.00016902591,0.000035591434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011091315,0.000074142714,0.00024573924,0.000026222353,0.00031552353,0.000006031472,0.00030683723,0.000032422085,0.00003174265],"category_scores_gemma":[0.00024638852,0.000021482534,0.000090848625,0.00034234195,0.0012125176,0.00011537778,0.000035220535,0.00010100905,8.5755164e-7],"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":[0.00046158658,0.000190706,0.8205159,0.000029614048,0.00005021034,0.0000073943256,0.00039424704,0.00027231273,0.17434575,0.0022476164,0.0009001363,0.00058455276],"study_design_scores_gemma":[0.00025346738,0.002517282,0.9780868,0.00007719409,0.000019014951,0.000039474708,0.00012403606,0.000026836547,0.017462118,0.0011991995,0.0001505694,0.000044008335],"about_ca_topic_score_codex":0.00007618669,"about_ca_topic_score_gemma":0.0002726813,"teacher_disagreement_score":0.15757093,"about_ca_system_score_codex":0.000014235592,"about_ca_system_score_gemma":0.000029456876,"threshold_uncertainty_score":0.44675714},"labels":[],"label_agreement":null},{"id":"W2153193092","doi":"10.17221/66/2009-jfs","title":"The effect of point application of fertilizerson the soil environment of spread line windrows in the Krušné hory Mts","year":2010,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Environmental science; Humus; Picea abies; Soil fertility; Soil pH; Soil horizon; Soil type; Agronomy; Soil science; Soil water; Botany; Biology","score_opus":0.005877421386969408,"score_gpt":0.20696803054441948,"score_spread":0.20109060915745008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153193092","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":[0.996929,0.000207435,0.0000059272274,0.0025141016,0.0000925424,0.0001499797,0.0000036098434,7.0521213e-7,0.00009670048],"genre_scores_gemma":[0.9997846,0.000115587645,0.000015870368,0.000028020997,0.000045314726,0.000003610393,2.0136754e-7,2.1175568e-7,0.000006587753],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990637,0.00010040881,0.00030050523,0.000076863376,0.00033143768,0.00012713426],"domain_scores_gemma":[0.99821687,0.0011976017,0.00045087418,0.000077690376,0.00003583923,0.000021126483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033991912,0.000059725364,0.00014590508,0.0000115373405,0.0002062478,0.000009569386,0.0006866354,0.000036048572,0.000005334018],"category_scores_gemma":[0.00023099245,0.0000129045175,0.00007000036,0.0002254402,0.000992312,0.00007991351,0.00005305082,0.00019514372,8.607288e-7],"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":[0.00019353708,0.00008382094,0.26264587,0.0000074147974,0.000009444787,0.0000013766886,0.00041892147,0.00022140994,0.7143135,0.00034636373,0.0000647364,0.021693602],"study_design_scores_gemma":[0.00010417445,0.0008214127,0.9654218,0.00001319981,0.000013520228,0.000021377526,0.00030753098,0.00017695146,0.032113723,0.0006293302,0.00034960092,0.000027378912],"about_ca_topic_score_codex":0.00007397223,"about_ca_topic_score_gemma":0.0016458544,"teacher_disagreement_score":0.7027759,"about_ca_system_score_codex":0.000007495304,"about_ca_system_score_gemma":0.0000112227035,"threshold_uncertainty_score":0.36562148},"labels":[],"label_agreement":null},{"id":"W2171539339","doi":"10.17221/39/2014-jfs","title":"Allometric equations for predicting aboveground biomass of beech-hornbeam standsin the Hyrcanian forests of Iran","year":2014,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":38,"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":"Beech; Biomass (ecology); Tree allometry; Hornbeam; Environmental science; Allometry; Mathematics; Forestry; Agroforestry; Ecology; Geography; Biology","score_opus":0.016291185413319607,"score_gpt":0.2559659818458763,"score_spread":0.2396747964325567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171539339","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":[0.86506206,0.000033199125,0.13262837,0.00037105833,0.0003114758,0.00026108295,0.000005604289,0.0000043366804,0.0013228105],"genre_scores_gemma":[0.99603313,0.000007144652,0.0037805014,0.000047342943,0.000043222197,0.000005838145,4.2714322e-7,0.0000060896355,0.00007630099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982172,0.000042052197,0.0005704155,0.00016283091,0.00071119267,0.00029629993],"domain_scores_gemma":[0.9982227,0.00049754657,0.0008341784,0.00025167345,0.00009427716,0.00009962151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038929363,0.00009616275,0.00020372003,0.0003015764,0.0003057473,0.000029073026,0.0009334813,0.000035799723,0.000054696207],"category_scores_gemma":[0.0014223693,0.000062947656,0.00011034634,0.0013791828,0.001266179,0.0004990613,0.00017423759,0.00010337508,0.000003970933],"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":[0.00014440152,0.00042981346,0.8114993,0.0000864104,0.000065421686,0.0000035466544,0.0013219699,0.041646507,0.015991116,0.12184644,0.0014290494,0.005536019],"study_design_scores_gemma":[0.00066296157,0.0011557135,0.9376353,0.000039493236,0.000058581812,0.000014871956,0.00023679531,0.01803773,0.0026262878,0.038189285,0.0012444789,0.00009848048],"about_ca_topic_score_codex":0.00009019078,"about_ca_topic_score_gemma":0.001121767,"teacher_disagreement_score":0.13097106,"about_ca_system_score_codex":0.00012682074,"about_ca_system_score_gemma":0.0000623154,"threshold_uncertainty_score":0.46652895},"labels":[],"label_agreement":null},{"id":"W2789504391","doi":"10.17221/4645-jfs","title":"XII. World Forestry Congress","year":2004,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":20,"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":"Czech; Forestry; Harmony (color); Community forestry; Geography; Political science; Environmental protection; Forest management; Art","score_opus":0.010948617825319331,"score_gpt":0.2561128155452369,"score_spread":0.24516419771991757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789504391","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":[0.9589395,0.00003207691,0.00023059532,0.001033893,0.0007119162,0.00007941531,6.8482365e-7,0.000012276972,0.038959622],"genre_scores_gemma":[0.9926705,0.000012194286,0.0029478965,0.00036779823,0.00014419855,0.0000010342643,1.5992471e-7,0.000007042967,0.003849224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825674,0.000010169136,0.0003200988,0.0001641614,0.0008613895,0.00038745278],"domain_scores_gemma":[0.999193,0.000022958462,0.0002897217,0.00022132437,0.00003161489,0.00024138746],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007704126,0.000111605324,0.0001385444,0.00024884616,0.00021338153,0.000114119226,0.0010038792,0.00002275715,0.0009346017],"category_scores_gemma":[0.00011564584,0.00008391599,0.00008422932,0.0012043547,0.0011674718,0.0012002375,0.0002389434,0.00017763591,0.0007535819],"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":[0.0000875931,0.00031037632,0.67166007,0.000019917248,0.000021633994,0.00031616344,0.0009267967,0.20634823,0.003943634,0.06918528,0.040059946,0.0071203513],"study_design_scores_gemma":[0.002161299,0.0005834329,0.75901204,0.00015639594,0.000046806537,0.00032609113,0.000052158648,0.0012996577,0.0029809137,0.107208155,0.12563553,0.000537514],"about_ca_topic_score_codex":0.00010409086,"about_ca_topic_score_gemma":0.00033449553,"teacher_disagreement_score":0.20504856,"about_ca_system_score_codex":0.00024847317,"about_ca_system_score_gemma":0.00009079071,"threshold_uncertainty_score":0.99997866},"labels":[],"label_agreement":null},{"id":"W2809729640","doi":"10.17221/7/2018-jfs","title":"Spatial patterns of trees from different development stages in mixed temperate forest in the Hyrcanian region of Iran","year":2018,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Syncrude (Canada); Université Laval","funders":"","keywords":"Beech; Spatial ecology; Temperate forest; Naturalness; Common spatial pattern; Stand development; Fagus orientalis; Tree (set theory); Temperate rainforest; Environmental science; Forestry; Temperate climate; Ecology; Geography; Mathematics; Biology; Ecosystem; Physics","score_opus":0.017558305099217124,"score_gpt":0.2423133416821963,"score_spread":0.22475503658297916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809729640","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":[0.9986011,0.000011193146,0.0008405524,0.00023663795,0.00014054013,0.00007861472,0.0000018104519,8.605426e-7,0.00008869694],"genre_scores_gemma":[0.9995303,0.000021579448,0.00037814342,0.000033383956,0.00001859739,0.0000021136088,3.82968e-7,0.0000021417106,0.000013335158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988154,0.00006577785,0.00045278473,0.00011975121,0.000383617,0.00016266428],"domain_scores_gemma":[0.99935883,0.0001034175,0.0003676754,0.00010636199,0.000031389336,0.000032344964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007031066,0.00007648687,0.00017389128,0.00012220647,0.00010036909,0.00001113991,0.0004702001,0.000023749984,0.000025823254],"category_scores_gemma":[0.00009641787,0.00004609453,0.000028691771,0.00021995405,0.0007298202,0.0002019783,0.000097870936,0.00010358556,0.0000020362745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002742523,0.0001008938,0.99164516,0.0000030362735,0.0000035631342,0.000008326505,0.004311851,0.0009311118,0.0023297947,0.00009987714,0.000005434055,0.00053353177],"study_design_scores_gemma":[0.00035197983,0.00022050779,0.9948207,0.00006122392,0.0000037768718,0.000005955054,0.000742516,0.0009050541,0.0019199831,0.00090912497,0.000009706206,0.00004947672],"about_ca_topic_score_codex":0.0007378051,"about_ca_topic_score_gemma":0.2179574,"teacher_disagreement_score":0.2172196,"about_ca_system_score_codex":0.00010018004,"about_ca_system_score_gemma":0.00004078564,"threshold_uncertainty_score":0.7963128},"labels":[],"label_agreement":null},{"id":"W3021960470","doi":"10.17221/141/2019-jfs","title":"Retrieval of among-stand variances from one observation per stand","year":2020,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Remote Sensing and LiDAR Applications","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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Statistics; Variance (accounting); Confidence interval; Sampling (signal processing); Mathematics; Sampling design; Sample (material); Sample size determination; Variable (mathematics); Population; Regression analysis; Econometrics; Computer science; Demography","score_opus":0.02783470036516521,"score_gpt":0.2389353081600068,"score_spread":0.21110060779484158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021960470","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":[0.9835396,0.0000612969,0.013701918,0.0012667861,0.00007801782,0.000055243807,0.0000049681553,0.0000045122747,0.0012876784],"genre_scores_gemma":[0.9836628,0.000035280085,0.016102131,0.00007579794,0.000079200305,4.632144e-8,3.2680802e-7,0.0000033923072,0.000041035015],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986438,0.000019301338,0.00030935736,0.00015098065,0.0007519912,0.0001245411],"domain_scores_gemma":[0.9992213,0.00005289338,0.00037193028,0.00012922366,0.000068314504,0.00015632073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004989656,0.000058866965,0.0001339259,0.00002834622,0.00012404022,0.000048324517,0.000362909,0.000026453165,0.00013262259],"category_scores_gemma":[0.00024076623,0.000047119116,0.00004242963,0.00059080025,0.00069179584,0.00055176247,0.00005666771,0.00011745272,0.000017599712],"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":[0.00017231995,0.00012845254,0.3533123,0.000013018755,0.00001769901,0.00000708003,0.0040115463,0.017913952,0.6184932,0.00045396909,0.0014485465,0.004027903],"study_design_scores_gemma":[0.00023087065,0.00017401221,0.9722252,0.000037354344,0.000018224531,0.0000037812592,0.00017385534,0.007555888,0.0152510945,0.0020298886,0.002226074,0.000073788346],"about_ca_topic_score_codex":0.00010434042,"about_ca_topic_score_gemma":0.000017435934,"teacher_disagreement_score":0.6189129,"about_ca_system_score_codex":0.00007083202,"about_ca_system_score_gemma":0.00009227964,"threshold_uncertainty_score":0.25489506},"labels":[],"label_agreement":null},{"id":"W55375066","doi":"10.17221/4501-jfs","title":"Comparison and selection of growth models using the Schnute model","year":2006,"lang":"en","type":"article","venue":"Journal of Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"National Natural Science Foundation of China","keywords":"Asymptote; A priori and a posteriori; Set (abstract data type); Process (computing); Tree (set theory); Flexibility (engineering); Computer science; Model selection; Functional data analysis; Data set; Inflection point; Sigmoid function; Mathematics; Data mining; Artificial intelligence; Machine learning; Statistics","score_opus":0.02051853139707177,"score_gpt":0.26178821899144394,"score_spread":0.24126968759437217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W55375066","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":[0.82254124,0.000021310338,0.1761947,0.00011915528,0.000045164663,0.00005008056,1.9498253e-7,0.0000021265137,0.0010260178],"genre_scores_gemma":[0.988933,0.000008287646,0.010959373,0.00003628947,0.000014738748,4.06573e-7,2.8334007e-8,0.0000020665013,0.000045763572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991762,0.000014574252,0.00023628862,0.00009163204,0.00033566167,0.00014561939],"domain_scores_gemma":[0.9995902,0.000017095601,0.00026806968,0.000054877797,0.00003446589,0.000035260557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079364044,0.000051473835,0.00009696025,0.00006704933,0.00023015309,0.00002322681,0.00026660244,0.00002011921,0.0000123998025],"category_scores_gemma":[0.000019615421,0.000032952295,0.000025734855,0.00032800093,0.0008061377,0.00064832723,0.00011609169,0.000093369956,8.9868956e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000087619555,0.000035957353,0.087465405,0.000002241207,0.0000017275062,6.121622e-7,0.000068354886,0.8633901,0.005544622,0.04318804,0.0002591579,0.000035027228],"study_design_scores_gemma":[0.00009530774,0.000060681854,0.108599015,0.000006017367,0.000012278267,0.000024415294,0.00002423791,0.77615136,0.0012186978,0.113765314,0.000010345429,0.000032341854],"about_ca_topic_score_codex":0.00016130366,"about_ca_topic_score_gemma":0.00020837101,"teacher_disagreement_score":0.16639179,"about_ca_system_score_codex":0.0000786932,"about_ca_system_score_gemma":0.00003103728,"threshold_uncertainty_score":0.2970248},"labels":[],"label_agreement":null}]}