{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001570397,0.000126909,0.0002103443,0.0001994655,0.00009759983,0.0002710847,0.0003316114,0.0001603613,0.0001066773],"category_scores_gemma":[0.0007466149,0.0001124789,0.00002338536,0.0007294862,0.0003728784,0.001257265,0.00008958048,0.0001770829,0.00000263849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027343,"about_ca_system_score_gemma":0.0003128112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803236,"about_ca_topic_score_gemma":0.9954607,"domain_scores_codex":[0.9989128,0.000017777,0.0003118285,0.0002242105,0.0002703019,0.0002631251],"domain_scores_gemma":[0.9992011,0.0001190242,0.0001633547,0.00007514432,0.0003729836,0.00006835411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002191349,0.00004535003,0.9226913,0.0000513096,0.00001760805,0.000001783935,0.0091387,0.000001546523,0.001217315,0.005283895,0.05631232,0.005216931],"study_design_scores_gemma":[0.00129766,0.00009385184,0.4751337,0.001023981,0.00003450213,0.000004149639,0.2265306,0.004902703,0.002966428,0.003945612,0.2829096,0.001157223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909861,0.0001213818,0.000009788031,0.007306683,0.00006848045,0.0004538777,0.000006542851,0.0001396181,0.0009075042],"genre_scores_gemma":[0.9975187,0.0001055297,0.000167077,0.0001506921,0.00001273628,0.00004521448,0.000002996967,0.000009719754,0.001987314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4475576,"threshold_uncertainty_score":0.4586758,"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."}}