{"id":"W2039965630","doi":"10.1007/s12134-007-0028-6","title":"Jobs Commensurate With Their Skills? Selected Workers and Skilled Job Access in Québec","year":2007,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Parks and Wilderness Society; Université de Montréal","funders":"","keywords":"Residence; Immigration; Demographic economics; Selection (genetic algorithm); Cohort; Probabilistic logic; Sociology; Political science; Economics; Computer science; Statistics; Mathematics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004163202,0.0003260374,0.0003659143,0.001168576,0.0002549366,0.0009398712,0.0004329797,0.0002665254,0.0002138839],"category_scores_gemma":[0.002443793,0.0002759311,0.0001053849,0.0007807331,0.0003079374,0.002242131,0.00003927896,0.0007561792,0.000002491728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123587,"about_ca_system_score_gemma":0.001029583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01424268,"about_ca_topic_score_gemma":0.6811231,"domain_scores_codex":[0.9966996,0.0007658873,0.001231266,0.0003328469,0.0006485198,0.0003219137],"domain_scores_gemma":[0.9948778,0.001421025,0.001021215,0.0001409071,0.002283034,0.000256045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001069598,0.000635773,0.7429992,0.00002268957,0.0002176116,0.00004580722,0.08175608,0.001932012,0.006970953,0.1457702,0.004668138,0.0139119],"study_design_scores_gemma":[0.003557257,0.0006062383,0.82257,0.001017496,0.00006516017,0.0006147316,0.02940028,0.03894659,0.003580511,0.002941933,0.0959406,0.0007592236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327806,0.0001544611,0.1363523,0.02265047,0.0003743309,0.0003639993,0.00002325057,0.00005405552,0.007246568],"genre_scores_gemma":[0.9864743,0.003077419,0.005334822,0.001778226,0.0003936114,0.00003516739,0.0001176285,0.00003307837,0.002755755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6668804,"threshold_uncertainty_score":0.9999693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084633798337675,"score_gpt":0.3136141917307602,"score_spread":0.3027678537473835,"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."}}