{"id":"W1496835100","doi":"10.7202/006295ar","title":"La distribution des patronyme au Québec : témoins des dynamiques de population","year":2003,"lang":"fr","type":"article","venue":"Anthropologie et Sociétés","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001142482,0.0001766898,0.0002364363,0.00008863825,0.003394098,0.0002545774,0.0001815786,0.0004595879,0.007793746],"category_scores_gemma":[0.001172843,0.0002356143,0.0002003203,0.0003425404,0.0103897,0.0006211859,0.00003108703,0.0003283236,0.0001019944],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01598281,"about_ca_system_score_gemma":0.004150232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991317,"about_ca_topic_score_gemma":0.9968622,"domain_scores_codex":[0.9969775,0.001569308,0.0002565114,0.0002863993,0.0002020608,0.0007081826],"domain_scores_gemma":[0.999086,0.000319445,0.0001020234,0.000171386,0.0000909252,0.0002302086],"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":[0.00001486764,0.0004225401,0.1570305,0.0002289832,0.0001002288,0.00007991643,0.04459178,0.00004260913,0.00003190305,0.364041,0.02794762,0.4054681],"study_design_scores_gemma":[0.0002707035,0.0001409591,0.1554505,0.0001262695,0.0001306352,0.00001829748,0.06535531,0.00002837124,0.00003101683,0.05751115,0.7204986,0.0004382014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783568,0.02260456,0.006324065,0.02202433,0.00768136,0.0002871782,0.0003119904,0.0002556263,0.06215408],"genre_scores_gemma":[0.9640566,0.02188103,0.0004016925,0.0001421905,0.0001629998,0.0000141821,0.00007208428,0.00002071296,0.01324852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.692551,"threshold_uncertainty_score":0.9979033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032009885447737,"score_gpt":0.480023374365232,"score_spread":0.3768223858204582,"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."}}