{"id":"W303504891","doi":"10.71781/621","title":"L’intégration professionnelle : perception des médecins immigrants","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Immigration; Ethnology; Sociology; Art","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":[0.004729471,0.0002742358,0.0004660191,0.001377901,0.004746621,0.00325827,0.0009476542,0.001025709,0.01159085],"category_scores_gemma":[0.01048195,0.0002424863,0.0004394358,0.002130761,0.003417255,0.001731392,0.002921757,0.001642322,0.0006216837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007950335,"about_ca_system_score_gemma":0.0164113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5249507,"about_ca_topic_score_gemma":0.5779159,"domain_scores_codex":[0.996913,0.0009061309,0.0001750785,0.0002789418,0.001015933,0.0007109502],"domain_scores_gemma":[0.9906911,0.002345059,0.002110901,0.0001886445,0.002218145,0.002446092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001188771,0.0001490115,0.7467446,0.0003792104,0.00006891244,0.0003748672,0.2200024,0.0001152781,0.0007384442,0.001654779,0.003287393,0.0263662],"study_design_scores_gemma":[0.000009030625,0.0001025238,0.6742224,0.000529328,0.00002298844,0.000121557,0.3169016,0.0001317633,0.0001138655,0.0002257699,0.007587164,0.0000320336],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911964,0.0008695289,0.0001531664,0.00300846,0.0000455654,0.00003304181,0.0001537799,0.000003898617,0.004536138],"genre_scores_gemma":[0.9955096,0.0007980152,0.0001969549,0.0007620848,0.00002108049,0.00006228883,0.00009085567,0.000003928014,0.002555185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5249507,"threshold_uncertainty_score":0.955694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875781744943056,"score_gpt":0.4550585973120224,"score_spread":0.3863007798625919,"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."}}