{"id":"W6921148703","doi":"10.6084/m9.figshare.28414910.v1","title":"database","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diverse Legal and Medical Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Identification (biology); Selection (genetic algorithm); Set (abstract data type); Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002546741,0.0001987535,0.0002167369,0.0001272063,0.0001218928,0.0001943826,0.0004767478,0.0001227573,0.4675924],"category_scores_gemma":[0.001885416,0.0001624281,0.00008277933,0.0002472982,0.000006627732,0.0002921459,0.001360682,0.0002735946,0.01979727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001357474,"about_ca_system_score_gemma":0.00003525864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017318,"about_ca_topic_score_gemma":0.0001178532,"domain_scores_codex":[0.9991291,0.00000204727,0.0001281963,0.0002665486,0.0002561522,0.0002180135],"domain_scores_gemma":[0.9994318,0.00003983692,0.0001090941,0.0003145458,0.00009402435,0.00001064899],"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":[0.000002664678,0.00002625058,3.857697e-7,0.002079377,0.00002612036,0.00007212166,2.130222e-7,9.629436e-8,1.596895e-8,0.0000164784,0.9971131,0.0006631424],"study_design_scores_gemma":[0.0001180748,0.000001173388,0.000009362573,0.002896082,0.00005888261,1.70003e-7,0.000004930934,0.000003565459,1.340081e-7,0.00001108784,0.996711,0.000185586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.067662e-8,0.000275466,1.910894e-8,0.0002571974,0.0004257761,0.0001360225,0.9700767,0.0000663142,0.0287625],"genre_scores_gemma":[2.244299e-7,0.00001553396,0.000001478478,0.007439031,0.002384246,0.000103601,0.9877182,0.000004100854,0.002333589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4477951,"threshold_uncertainty_score":0.9809659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892915567527577,"score_gpt":0.2479822012542674,"score_spread":0.2090530455789916,"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."}}