{"id":"W1972005864","doi":"10.7202/600822ar","title":"L’analyse du chômage par les flux","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.003869637,0.0005324995,0.0006800651,0.004831952,0.001623737,0.003715828,0.0008935146,0.0005532029,0.01210191],"category_scores_gemma":[0.01199733,0.0002862427,0.0007595945,0.008758184,0.001409418,0.001960727,0.001671806,0.0006105601,0.0008876574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005239088,"about_ca_system_score_gemma":0.003998618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.500365,"about_ca_topic_score_gemma":0.4933557,"domain_scores_codex":[0.9977836,0.0006150282,0.0001292514,0.000340353,0.000822284,0.0003094789],"domain_scores_gemma":[0.9933318,0.003340679,0.001002923,0.0004342635,0.001709062,0.0001811435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000341439,0.00004911174,0.8573292,0.0007364265,0.0004451696,0.0002562657,0.035681,0.001423872,0.002283559,0.01508826,0.002768333,0.08359737],"study_design_scores_gemma":[0.00000523566,0.00004306115,0.9580669,0.0001894371,0.00006419495,0.0001183055,0.01122307,0.001020873,0.0005256067,0.001305285,0.02741072,0.00002717091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297523,0.002815399,0.01643381,0.001408432,0.00007850592,0.0002877823,0.01076809,0.00008335595,0.03837234],"genre_scores_gemma":[0.9698509,0.001727475,0.006183344,0.0001284133,0.00004684652,0.0002362916,0.004007991,0.00006375022,0.01775498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.499635,"threshold_uncertainty_score":0.9949051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159614502826948,"score_gpt":0.3020107808593851,"score_spread":0.2704146358311156,"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."}}