{"id":"W2802657311","doi":"10.25336/csp29371","title":"Global migration and cities of the future","year":2018,"lang":"fr","type":"article","venue":"Canadian Studies in Population","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Immigration; Political science; Geography; Humanities; Ethnology; Economy; Sociology; Economics; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764565,0.00007771284,0.0001289368,0.00004763191,0.000462713,0.00001575807,0.00007810415,0.0001086576,0.00005069635],"category_scores_gemma":[0.0001042089,0.00007033447,0.00002808864,0.0004057006,0.0008371277,0.0002032568,0.00001888747,0.00004317444,0.000003468465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151698,"about_ca_system_score_gemma":0.0001496862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7053647,"about_ca_topic_score_gemma":0.9992757,"domain_scores_codex":[0.9992403,0.000132917,0.0002138198,0.0001285879,0.00009168337,0.0001926906],"domain_scores_gemma":[0.9995884,0.00002467866,0.0001009738,0.00009619956,0.00012221,0.00006748541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000157146,0.000003037057,0.8718898,0.00002735642,0.00001579574,1.79474e-7,0.04527477,0.00001087733,1.572281e-7,0.06885877,0.005952668,0.007964969],"study_design_scores_gemma":[0.0000699892,0.00001762415,0.9030601,0.00006320327,0.00001697664,6.832664e-7,0.03537168,0.0001065397,0.000001377691,0.01696841,0.04424892,0.00007452013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639908,0.01728784,0.000002621672,0.009452909,0.003989667,0.0001733152,0.00004002448,0.000003669158,0.00505916],"genre_scores_gemma":[0.9951423,0.001838944,0.00003622856,0.0002638966,0.001298433,0.000004853167,0.00000486656,0.000002797719,0.001407674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.293911,"threshold_uncertainty_score":0.3558861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666496543110238,"score_gpt":0.3131509321096571,"score_spread":0.2764859666785547,"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."}}