{"id":"W4300499167","doi":"10.3386/w21376","title":"Multidimensional Skill Mismatch","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Psychology; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001666727,0.0003314154,0.0004291686,0.001635171,0.0004174777,0.001138977,0.0005579428,0.0007330757,0.00582148],"category_scores_gemma":[0.01502994,0.0001475847,0.0003438554,0.001798525,0.0009411541,0.001549276,0.002025579,0.0006176826,0.0005531041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007237035,"about_ca_system_score_gemma":0.0004610764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710827,"about_ca_topic_score_gemma":0.001619751,"domain_scores_codex":[0.9983853,0.000352458,0.0002462997,0.0003879608,0.0004654664,0.0001625977],"domain_scores_gemma":[0.9910346,0.003265866,0.003155878,0.001187691,0.0006785025,0.0006774749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003177298,0.0003125913,0.8670328,0.0001460219,0.0001839631,0.0002074843,0.001153262,0.007185081,0.002149569,0.03763847,0.002436291,0.08123685],"study_design_scores_gemma":[0.00002896038,0.0003361257,0.8979611,0.0000930156,0.00004956108,0.0005098976,0.001328754,0.01481245,0.001342749,0.07647947,0.007003822,0.00005406993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575239,0.000696028,0.02234007,0.0009630924,0.00006119584,0.00007306596,0.001677407,0.00006401457,0.01660117],"genre_scores_gemma":[0.9963619,0.00009924696,0.002157747,0.0001007256,0.0000197383,0.00003321156,0.0004481894,0.00000532201,0.0007738858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00582148,"threshold_uncertainty_score":0.01947474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6221085471795985,"score_gpt":0.611216032663389,"score_spread":0.01089251451620954,"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."}}