{"id":"W7104477752","doi":"10.71781/12822","title":"Aux origines du génome québécois : démographie génétique d'une population nouvelle","year":2000,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Natural (archaeology); Context (archaeology)","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":[0.0007715587,0.0003377049,0.0004406972,0.003842741,0.003948436,0.001359653,0.0006334625,0.0005180982,0.008378762],"category_scores_gemma":[0.002010603,0.0002735145,0.0004312287,0.007396794,0.0008417182,0.0004192167,0.0005840331,0.001005971,0.000364277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01440506,"about_ca_system_score_gemma":0.0180361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855946,"about_ca_topic_score_gemma":0.9915052,"domain_scores_codex":[0.9995992,0.00006217789,0.00001221353,0.0001029109,0.00009927664,0.0001243618],"domain_scores_gemma":[0.9991867,0.0001693753,0.00006478706,0.00005202441,0.0004198925,0.0001072388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006542919,0.0001034545,0.630555,0.000563723,0.000724524,0.00303285,0.0468483,0.004985879,0.01488728,0.04191448,0.02696555,0.2287647],"study_design_scores_gemma":[0.00001254407,0.00001709098,0.9607018,0.00009106069,0.00006126237,0.0002625237,0.003455679,0.0006822407,0.0005741814,0.00073424,0.03338469,0.00002273044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385896,0.004650482,0.006167355,0.002945889,0.0000820295,0.0001861911,0.01621589,0.0001032017,0.0310594],"genre_scores_gemma":[0.9534792,0.003090821,0.007339946,0.000341948,0.00001516777,0.0001171535,0.004565526,0.0000491408,0.03100114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01440537,"threshold_uncertainty_score":0.1045165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004246025190084273,"score_gpt":0.1709969944651972,"score_spread":0.166750969275113,"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."}}