{"id":"W7108078218","doi":"10.5683/sp3/sunhgq","title":"Hermabessiere et al., __________ Supp Data","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Expression (computer science); Perch; Data set; Data collection; Gene expression","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":[0.002265299,0.001880801,0.001883721,0.003506108,0.001527213,0.004057861,0.003021353,0.002677443,0.2279991],"category_scores_gemma":[0.01543501,0.0007751683,0.002209809,0.004036561,0.0005907783,0.001500065,0.002611577,0.001718228,0.1823285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869726,"about_ca_system_score_gemma":0.003056459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02659241,"about_ca_topic_score_gemma":0.05555522,"domain_scores_codex":[0.9986255,0.0002414007,0.0001112445,0.0004377702,0.0002895971,0.0002944891],"domain_scores_gemma":[0.9947209,0.002475848,0.0003670976,0.001008937,0.0009332286,0.0004939522],"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":[0.0001488696,0.000036818,0.00434904,0.001728025,0.0002061938,0.00005020986,0.00006847079,0.000376986,0.0004973484,0.0007365362,0.9888215,0.002979957],"study_design_scores_gemma":[0.0003740015,0.00003497388,0.01326193,0.000661159,0.0002527987,0.00009962578,0.0001156565,0.0003628907,0.0005906673,0.002207019,0.9819843,0.00005493837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000142387,0.00009331182,0.00007922829,0.00005933766,0.00004146765,0.000006494374,0.9986621,0.0002073835,0.0007082434],"genre_scores_gemma":[0.001170918,0.000100962,0.0006310596,0.0001404928,0.00002450118,0.00008953692,0.9960982,0.0002104109,0.001534075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7720009,"threshold_uncertainty_score":0.7627329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482785274695925,"score_gpt":0.3545389544905349,"score_spread":0.3097111017435756,"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."}}