{"id":"W4235869465","doi":"10.33423/ajm.v19i4.2392","title":"Non-Cognitive Skills: How Much Do They Matter for Earnings in Canada?","year":2019,"lang":"en","type":"article","venue":"American Journal of Management","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Conscientiousness; Agreeableness; Big Five personality traits; Neuroticism; Wage; Earnings; Non cognitive; Extraversion and introversion; Psychology; Cognition; Cognitive skill; Economics; Demographic economics; Personality; Labour economics; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099117,0.0003609644,0.0005197092,0.001363028,0.003253306,0.002265356,0.001542023,0.0007582303,0.004398987],"category_scores_gemma":[0.005326081,0.0001803615,0.0006930167,0.002905204,0.001197381,0.0007103226,0.001192124,0.001459095,0.000296862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0224009,"about_ca_system_score_gemma":0.03996535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933473,"about_ca_topic_score_gemma":0.9956321,"domain_scores_codex":[0.9988122,0.00006611799,0.00004661184,0.0001816054,0.0003136089,0.0005798921],"domain_scores_gemma":[0.9957321,0.0004367539,0.0007304437,0.0001478015,0.001366984,0.001585878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001487852,0.00004178265,0.9778849,0.00002843772,0.00008257657,0.0001183285,0.0009204561,0.0002006154,0.00006112063,0.001220816,0.002776648,0.01651547],"study_design_scores_gemma":[0.000007966259,0.00001343538,0.9950777,0.00006295657,0.00004323427,0.00002877561,0.002068228,0.0004769157,0.00005604094,0.0003374295,0.001812015,0.0000154499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98084,0.003020942,0.0001668245,0.006169615,0.00007032458,0.0000189362,0.003226475,0.00001490603,0.006472071],"genre_scores_gemma":[0.9960227,0.0007473825,0.00008162796,0.0002291143,0.0000152634,0.000003911161,0.001067086,0.000006851993,0.001825949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0224009,"threshold_uncertainty_score":0.1625307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00564973084098779,"score_gpt":0.1978004334546358,"score_spread":0.192150702613648,"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."}}