{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006749376,0.0002388776,0.0001651484,0.001200179,0.006875294,0.003673146,0.0006090762,0.0004808701,0.007010076],"category_scores_gemma":[0.0015172,0.0001498763,0.0001959751,0.001736805,0.004489559,0.001225497,0.002002661,0.0006315079,0.0003205827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01352469,"about_ca_system_score_gemma":0.00835372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8546627,"about_ca_topic_score_gemma":0.9242902,"domain_scores_codex":[0.9995028,0.0001183021,0.00001014416,0.00007435901,0.00007566041,0.0002187658],"domain_scores_gemma":[0.9994531,0.0001006748,0.0001106281,0.00002354083,0.0001291071,0.000182789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001234608,0.00005053106,0.1698805,0.0001360007,0.00003559181,0.001492988,0.6583948,0.0007418148,0.002568413,0.09800886,0.00405334,0.0645138],"study_design_scores_gemma":[0.000009418346,0.00008768593,0.3622588,0.000147487,0.00002796177,0.0003015534,0.5002059,0.0003798296,0.0003897723,0.002810528,0.1332906,0.00009061306],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463566,0.00139162,0.0006919761,0.001843988,0.0000352778,0.00002506746,0.0002361591,0.00001769702,0.04940159],"genre_scores_gemma":[0.9807967,0.0005475055,0.000226593,0.00007504774,0.00000790309,0.00001190086,0.00005470294,0.000007323565,0.01827233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1453373,"threshold_uncertainty_score":0.2923865,"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."}}