{"id":"W7092604583","doi":"10.57745/y3zbao","title":"CARC_Phenotypic_Spring_Barley_raw_Historical.tab","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arctic Resources Committee","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009043731,0.003703383,0.001811765,0.003953031,0.0009532447,0.002881281,0.002956802,0.003160262,0.150822],"category_scores_gemma":[0.004442488,0.001060196,0.001736156,0.006046095,0.0005114853,0.001529742,0.001449013,0.001855377,0.1900447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251,"about_ca_system_score_gemma":0.002361538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05962538,"about_ca_topic_score_gemma":0.06245664,"domain_scores_codex":[0.9990482,0.000139916,0.0000696803,0.0003525006,0.0001951619,0.0001945591],"domain_scores_gemma":[0.9979743,0.0006595131,0.0001267031,0.0005386021,0.0005339736,0.0001669667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007569583,0.00001929006,0.0003808215,0.0003739028,0.00002688647,0.00001861881,0.00001631294,0.0003047384,0.0001630694,0.0002986838,0.9965253,0.001796619],"study_design_scores_gemma":[0.0003270251,0.00002866277,0.004556346,0.0002098639,0.0000309474,0.00006080671,0.00007377356,0.0006494749,0.0006669194,0.001051492,0.9923004,0.00004419068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001087217,0.00004563358,0.00004899057,0.00004140247,0.00002024696,0.000004533058,0.9984646,0.0007233563,0.0005424701],"genre_scores_gemma":[0.0003443441,0.00003447877,0.000183604,0.00003101204,0.000006010953,0.00002435003,0.998498,0.0001711337,0.000707134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.849178,"threshold_uncertainty_score":0.50455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3020757575649781,"score_gpt":0.4280330657243769,"score_spread":0.1259573081593988,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}