{"id":"W7029296147","doi":"","title":"Information in the Labour Market: Job-Worker Matching and Its Implications for Education in Ontario","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Information system; Data collection; Government (linguistics)","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":[0.002282689,0.0001259944,0.0005182647,0.001248474,0.005119992,0.00333397,0.001430794,0.001314345,0.0130215],"category_scores_gemma":[0.01642995,0.0002587141,0.0003282521,0.003888839,0.001766759,0.002478408,0.001802761,0.001115002,0.0003760648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04720431,"about_ca_system_score_gemma":0.05616992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862389,"about_ca_topic_score_gemma":0.9930273,"domain_scores_codex":[0.9979734,0.000403343,0.000107122,0.0002104003,0.0004746004,0.0008312562],"domain_scores_gemma":[0.991181,0.00351539,0.001337442,0.0003087547,0.001791378,0.001865985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008370997,0.0003924717,0.8218179,0.0002037948,0.00009012621,0.0007175484,0.03097855,0.005181573,0.0005050209,0.05303707,0.01475111,0.07148781],"study_design_scores_gemma":[0.00009032312,0.00006983012,0.915164,0.0001659528,0.00005658949,0.00008808131,0.03594382,0.01027218,0.0003391287,0.01937217,0.01837216,0.00006569524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959819,0.0006853575,0.0006010745,0.01662335,0.00002967185,0.00005414899,0.00176849,0.00001149318,0.0204075],"genre_scores_gemma":[0.9942206,0.0002414473,0.0001089018,0.0001376526,0.00001206317,0.000006526188,0.0001806309,0.000003932222,0.005088193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04720431,"threshold_uncertainty_score":0.3424929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053782850300224,"score_gpt":0.2185643379366253,"score_spread":0.1980265094336231,"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."}}