{"id":"W413923783","doi":"","title":"TEMPORARY MIGRANT WORKERS' ACCESS AND USE OF TECHNOLOGIES IN QUEBEC (CANADA): CONNECTED MIGRANTS?","year":2013,"lang":"en","type":"article","venue":"INTED2013 Proceedings","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Migrant workers; Business; Demographic economics; Political science; Geography; Economic growth; Economics","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":[0.0005462773,0.0002629724,0.0003488792,0.001159887,0.006552195,0.003873302,0.00134838,0.001301036,0.007510225],"category_scores_gemma":[0.001914271,0.0002440273,0.0005121322,0.002905359,0.001452563,0.001270212,0.001960838,0.001720229,0.0005887953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.023284,"about_ca_system_score_gemma":0.02744352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948525,"about_ca_topic_score_gemma":0.9980971,"domain_scores_codex":[0.9992917,0.00007428951,0.00002539127,0.00007769216,0.00009306429,0.0004379528],"domain_scores_gemma":[0.9980189,0.0001284152,0.0003208126,0.00003861916,0.0006551096,0.0008381792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002209619,0.0002744183,0.8897216,0.0001571321,0.00005484965,0.00082389,0.07379253,0.0002154567,0.0004371424,0.001493986,0.006832914,0.02597509],"study_design_scores_gemma":[0.00001017463,0.00006503681,0.8053271,0.0002202132,0.00002983005,0.0001130413,0.187282,0.0001795583,0.00007411715,0.00007226301,0.006588762,0.00003787765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931258,0.0006330798,0.00004456553,0.001558502,0.0000273128,0.00002536423,0.0008963252,0.000005328596,0.003683644],"genre_scores_gemma":[0.9906892,0.0008022014,0.00008730435,0.0003875942,0.00001111196,0.00002963296,0.0005422257,0.000005702374,0.007445038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.023284,"threshold_uncertainty_score":0.168938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924786073591117,"score_gpt":0.2627798831760779,"score_spread":0.2435320224401668,"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."}}