{"id":"W6950302984","doi":"10.5683/sp3/9izauw","title":"Recensements du Canada 1665-1871, Nouvelle France (Québec)","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research methodology; Order (exchange); Indian ocean","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001173892,0.0005516956,0.0005221592,0.009495691,0.003759473,0.00315997,0.001068697,0.0006107186,0.03804429],"category_scores_gemma":[0.004719262,0.0003863684,0.000576606,0.02451091,0.0007345914,0.0009163307,0.001185007,0.0009404697,0.005055837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04940663,"about_ca_system_score_gemma":0.06995692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969074,"about_ca_topic_score_gemma":0.9983824,"domain_scores_codex":[0.998253,0.00006788271,0.0001000727,0.0002577812,0.0009930348,0.0003281797],"domain_scores_gemma":[0.9944468,0.0003806676,0.0002310755,0.0001624013,0.004489965,0.0002891316],"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":[0.0001850483,0.0000430532,0.1266185,0.001431592,0.0002252346,0.0004485968,0.009738212,0.001389593,0.000471637,0.009294194,0.71083,0.1393244],"study_design_scores_gemma":[0.00001039752,0.00001104579,0.4024776,0.0005396343,0.00003497719,0.00005355475,0.004633284,0.0001596271,0.0003681113,0.0001808002,0.5914893,0.00004177221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0528825,0.01107763,0.001072065,0.003818988,0.0005483187,0.0002444129,0.7876849,0.0003345319,0.1423368],"genre_scores_gemma":[0.2317699,0.01481763,0.004588725,0.001626335,0.0002171264,0.0005109569,0.3391997,0.0003568874,0.4069127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04940663,"threshold_uncertainty_score":0.3584719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187870240961409,"score_gpt":0.2272865575963003,"score_spread":0.2154078551866862,"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."}}