{"id":"W2983076841","doi":"10.7202/1065118ar","title":"Mobilité et modes de vie des travailleurs temporaires qualifiés. Les migrants middling à Montréal","year":2019,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Humanities; Political science; Sociology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001216377,0.0002890105,0.0003944895,0.0001065497,0.0008080866,0.0001098666,0.0004145867,0.0002786918,0.001166145],"category_scores_gemma":[0.00009504252,0.0003146352,0.0002573767,0.000313375,0.000636504,0.0007363851,0.0001036281,0.0002305939,0.0004400537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917426,"about_ca_system_score_gemma":0.0002070795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1836184,"about_ca_topic_score_gemma":0.1085793,"domain_scores_codex":[0.9976553,0.0004855204,0.0003666995,0.0004884038,0.0003280767,0.0006760468],"domain_scores_gemma":[0.9988395,0.0003025077,0.0001903208,0.0002745584,0.0001158422,0.000277273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009407516,0.0003340557,0.5801449,0.0002445232,0.0001811974,0.00001868896,0.3744293,0.002424288,0.0003507414,0.02342095,0.006708958,0.01164833],"study_design_scores_gemma":[0.003726551,0.0006507372,0.3805074,0.0008444972,0.0004804681,0.00001660523,0.2968216,0.01862212,0.0009405516,0.01796618,0.2771742,0.002248978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454871,0.03340942,0.000326686,0.002555976,0.0004736019,0.0003838068,0.0001133637,0.00008579216,0.01716428],"genre_scores_gemma":[0.9561484,0.004501695,0.0005860941,0.0003669906,0.000257378,0.000007128769,0.00002992584,0.00002348296,0.03807885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704653,"threshold_uncertainty_score":0.9999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503459118355344,"score_gpt":0.2663306314634967,"score_spread":0.2312960402799432,"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."}}