{"id":"W6986541019","doi":"","title":"Population et urbanisation au Québec et au Canada, XIXe et XXe siècles","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Urban environment; Rural population; Research methodology","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":[0.001073583,0.0003380634,0.0003723816,0.002115512,0.002824138,0.00260166,0.0006901448,0.0002645376,0.005524815],"category_scores_gemma":[0.002368444,0.0001375386,0.0003481942,0.006566545,0.002101576,0.0005464874,0.0009300426,0.0004528459,0.0002276488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03458852,"about_ca_system_score_gemma":0.03845811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955677,"about_ca_topic_score_gemma":0.9964302,"domain_scores_codex":[0.9993267,0.0001708118,0.00002628982,0.0001393641,0.0001635304,0.000173234],"domain_scores_gemma":[0.9986772,0.0003301364,0.0001345752,0.0000586492,0.0006878843,0.0001115325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001575349,0.00005314656,0.7394858,0.0007566125,0.0002376125,0.0003440927,0.03340807,0.006368285,0.0009097144,0.0492612,0.01541724,0.1536006],"study_design_scores_gemma":[0.0000102227,0.00003143049,0.9327132,0.0003195999,0.00004850596,0.0000533902,0.02103028,0.001799497,0.0002851577,0.001561855,0.04210816,0.00003870081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106656,0.009867379,0.006073729,0.004839227,0.00013872,0.0002229794,0.008007412,0.000110573,0.06007433],"genre_scores_gemma":[0.9724231,0.004231582,0.002797698,0.0002771782,0.00001529736,0.0001578193,0.001636021,0.00002273937,0.0184387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03458852,"threshold_uncertainty_score":0.2509585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324553154847998,"score_gpt":0.2219278072184027,"score_spread":0.2086822756699227,"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."}}