{"id":"W7092502776","doi":"10.57745/kfab8h","title":"Phenotypic_historical_template - SPRING-BARLEY_v7.tab","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arctic Resources Committee","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002302658,0.001094163,0.001108629,0.0001594868,0.000535137,0.0002101162,0.005426149,0.003022181,0.0004051967],"category_scores_gemma":[0.00221893,0.001196859,0.0003039621,0.0006818147,0.0003103341,0.00003982244,0.003697635,0.00224267,0.0002887073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606666,"about_ca_system_score_gemma":0.001985341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445053,"about_ca_topic_score_gemma":0.000382835,"domain_scores_codex":[0.9933294,0.001156731,0.001354619,0.002601765,0.0004610069,0.001096485],"domain_scores_gemma":[0.9905133,0.0003398215,0.0006316776,0.007860761,0.0003106577,0.0003437805],"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":[0.0001323913,0.0003850218,0.000156798,0.0009018007,0.0006257377,0.00002452155,0.00004732875,0.00003929788,0.001264535,0.0002481759,0.9906994,0.005475027],"study_design_scores_gemma":[0.0008210184,0.0001768214,0.00009747477,0.0003110124,0.0003691578,0.00001835057,0.00007055283,0.0001604491,0.001450091,0.0001322223,0.9951841,0.001208729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006114339,0.02229931,0.006269381,0.00045736,0.002454208,0.000703762,0.9636703,0.00004090806,0.003493371],"genre_scores_gemma":[0.001674873,0.01773865,0.006256708,0.0008968313,0.002605612,0.00009494382,0.9480934,0.00005979834,0.02257914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01908577,"threshold_uncertainty_score":0.999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088445261092778,"score_gpt":0.3490460750413134,"score_spread":0.2402015489320356,"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."}}