{"id":"W7070779822","doi":"","title":"Rimouski au temps d'Adèle Lamontagne, 1858-1875 : Partie 3: Commerce et société","year":2001,"lang":"fr","type":"article","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Power (physics); Focus (optics); Perspective (graphical); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003870401,0.0004596427,0.0003908959,0.002119498,0.006785695,0.001906922,0.0008127301,0.0007569394,0.02429102],"category_scores_gemma":[0.0007782551,0.0002398336,0.0003032364,0.003868902,0.002020191,0.001146105,0.001070346,0.00146713,0.002352348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02254431,"about_ca_system_score_gemma":0.01280936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.892148,"about_ca_topic_score_gemma":0.9708318,"domain_scores_codex":[0.999466,0.00005265318,0.00002018019,0.00008324689,0.0001346164,0.0002433217],"domain_scores_gemma":[0.9997087,0.00005576944,0.00006934129,0.00002172326,0.00008279966,0.00006161434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009369628,0.0001455094,0.08833411,0.001101213,0.0002035858,0.009526314,0.07446421,0.001087403,0.007128599,0.2606291,0.1607366,0.3957064],"study_design_scores_gemma":[0.00001301289,0.00001682553,0.1289172,0.0001809524,0.00001278942,0.0006833993,0.003700261,0.00008555458,0.0007016821,0.001370085,0.8642839,0.00003429343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.362479,0.04395903,0.00184215,0.008035699,0.0009675116,0.0001506759,0.008820614,0.0003131291,0.5734321],"genre_scores_gemma":[0.5895907,0.006966405,0.002370863,0.0006283972,0.0001463796,0.00006555522,0.001767904,0.0001066417,0.398357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.107852,"threshold_uncertainty_score":0.2169743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897630236534925,"score_gpt":0.226095780526916,"score_spread":0.2171194781615667,"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."}}