{"id":"W4392419839","doi":"10.7202/1109095ar","title":"INTRODUCTION","year":2024,"lang":"en","type":"article","venue":"Lex Electronica","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002038416,0.00009408988,0.00007660369,0.0001053799,0.00004628089,0.00009033786,0.0001081387,0.00004247881,0.001703302],"category_scores_gemma":[0.00003210657,0.00008790688,0.00005581013,0.0005167564,0.00003182584,0.0001711693,0.00001934793,0.0002946137,0.0391567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467458,"about_ca_system_score_gemma":0.0001506981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108397,"about_ca_topic_score_gemma":0.00002474603,"domain_scores_codex":[0.9989849,0.00003593988,0.0001054367,0.0003212731,0.0001527457,0.0003996802],"domain_scores_gemma":[0.9996469,0.0000192464,0.00001191569,0.0002639911,0.00001938569,0.00003856769],"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":[0.00001447661,0.00001565767,0.000005517535,0.000009902799,0.00003520327,0.000003269634,0.00003167158,0.0000232946,0.1775489,0.1571273,0.6581313,0.007053566],"study_design_scores_gemma":[0.00005644762,0.00007997217,0.00006802192,0.000004933946,0.00002034763,0.00003981447,0.000002769895,0.001004628,0.01845141,0.007769454,0.9723984,0.0001038189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3089497,0.0696585,0.004743107,0.1054714,0.01741048,0.001506184,0.00005333779,0.01956973,0.4726375],"genre_scores_gemma":[0.9793475,0.00004101936,0.0001410276,0.00006280703,0.007018779,0.00002192881,0.00002525185,0.0000796665,0.01326206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6703977,"threshold_uncertainty_score":0.9992093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004681624889550371,"score_gpt":0.2487026875347692,"score_spread":0.2440210626452188,"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."}}