{"id":"W7070458753","doi":"","title":"Parcours d'insertion d'immigrants travailleurs qualifiés et transitions professionnelles vers de nouveaux domaines de formation","year":2014,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociological research; Identity (music); Immigration; Ethnography","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":[0.004408989,0.0003825026,0.0005327518,0.0007915481,0.01023529,0.005014791,0.001245286,0.001268635,0.01282974],"category_scores_gemma":[0.009707739,0.0003078842,0.000556764,0.001191384,0.004231818,0.001795583,0.005065857,0.002113059,0.001401286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01370796,"about_ca_system_score_gemma":0.03227725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5478925,"about_ca_topic_score_gemma":0.7604256,"domain_scores_codex":[0.9949154,0.002168712,0.0001484288,0.0004764498,0.0008462782,0.001444817],"domain_scores_gemma":[0.9921851,0.001824706,0.001052482,0.0003485116,0.002155694,0.002433597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004425102,0.0004234716,0.2726673,0.0007066728,0.0001293308,0.001353545,0.5863418,0.0002259328,0.00213299,0.01300898,0.007669281,0.1148981],"study_design_scores_gemma":[0.00003115006,0.000276131,0.2868569,0.0009479758,0.0001059346,0.0001851859,0.6402278,0.0001916128,0.0006742991,0.00113508,0.06930261,0.00006540378],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693739,0.001628788,0.0007740674,0.003665702,0.0001636249,0.0001048994,0.0002302075,0.00002134755,0.02403739],"genre_scores_gemma":[0.9763725,0.001255939,0.0007372288,0.001359005,0.00003087283,0.0001301511,0.0001671733,0.00002204257,0.01992514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521075,"threshold_uncertainty_score":0.9095401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005283856780251312,"score_gpt":0.2024184263836631,"score_spread":0.1971345696034118,"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."}}