{"id":"W1514943240","doi":"","title":"Qui sont les migrants? Analyse de la migration interprovinciale au Canada fondee sur un modele logit par panel","year":2000,"lang":"fr","type":"article","venue":"Direction des etudes analytiques : documents de recherche","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.001441632,0.0003637412,0.0006078841,0.0006262043,0.001127956,0.001374001,0.0008828823,0.000439051,0.00312694],"category_scores_gemma":[0.004366089,0.0002680002,0.0007952959,0.001574009,0.0008371661,0.0007410735,0.0008429889,0.0008133542,0.0002940982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00431645,"about_ca_system_score_gemma":0.007898749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9461898,"about_ca_topic_score_gemma":0.9355946,"domain_scores_codex":[0.9993951,0.0002261788,0.00001700744,0.000126726,0.00006117282,0.0001737885],"domain_scores_gemma":[0.9986627,0.0007298986,0.0002042574,0.00008174947,0.000203772,0.0001175355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005183719,0.00008590197,0.8330497,0.0001484584,0.0005474812,0.0007538087,0.002825436,0.08993045,0.0006686184,0.01511935,0.003327054,0.05302537],"study_design_scores_gemma":[0.000132781,0.0002058881,0.6899146,0.0001991745,0.0007680176,0.0003473068,0.00837501,0.2749277,0.0005672622,0.009715358,0.01474264,0.0001041982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790059,0.001130334,0.01282538,0.001545651,0.0000250283,0.00007101867,0.002099397,0.00008411385,0.003213255],"genre_scores_gemma":[0.9886677,0.000750175,0.002333111,0.0001096829,0.00001202709,0.0000352239,0.0008123449,0.00001529255,0.007264541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05381024,"threshold_uncertainty_score":0.1082542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193378195336836,"score_gpt":0.3716271853440275,"score_spread":0.2522893658103439,"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."}}