{"id":"W235771049","doi":"","title":"CANADA : LES MUTATIONS D'UNE POPULATION CROISSANTE [Canada: Mutations of a growing population]","year":2013,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Geography; Diversification (marketing strategy); Population; Political science; Ethnology; Economy; Humanities; Demography; Sociology; Economics; Archaeology; Business","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":[0.0004881937,0.0002941267,0.0002301773,0.001426068,0.005696787,0.00169996,0.0008215542,0.0009040966,0.007244414],"category_scores_gemma":[0.001545881,0.0001614403,0.000268294,0.003820915,0.00145702,0.0006396013,0.0005661068,0.0008833699,0.0003711587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04246505,"about_ca_system_score_gemma":0.06721041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980829,"about_ca_topic_score_gemma":0.9984176,"domain_scores_codex":[0.9995986,0.0000466006,0.00001296337,0.00005021697,0.000115875,0.0001758276],"domain_scores_gemma":[0.9992587,0.00006246501,0.00006514801,0.00002148482,0.0004170575,0.0001751791],"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":[0.0003397941,0.0001042101,0.2713696,0.0006608177,0.0001175118,0.004699856,0.03067119,0.002214745,0.002089773,0.1046215,0.3336937,0.2494174],"study_design_scores_gemma":[0.00004868732,0.0000631931,0.6634548,0.0003431819,0.00006342833,0.001636419,0.01846367,0.001396607,0.0006174027,0.002690118,0.311114,0.0001085096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7645541,0.02885386,0.001650228,0.06438482,0.0009373226,0.0002172937,0.02030316,0.0002487657,0.1188506],"genre_scores_gemma":[0.9353178,0.009919158,0.00148766,0.002420895,0.0000835892,0.00006279754,0.002235284,0.00005833292,0.04841442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04246505,"threshold_uncertainty_score":0.3081069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266566477754646,"score_gpt":0.2154442051061009,"score_spread":0.2027785403285545,"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."}}