{"id":"W7095884369","doi":"","title":"The Causal Effect of Education on Earnings in Canada*","year":2001,"lang":"en","type":"article","venue":"","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":"Earnings; Causality (physics); Work (physics); Term (time)","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":[0.001328711,0.0004276569,0.0006483856,0.002535582,0.0044091,0.003357311,0.001650481,0.001661138,0.01197806],"category_scores_gemma":[0.009799938,0.0003225207,0.0009405512,0.005068042,0.001717661,0.001092854,0.001588942,0.002882017,0.00051215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04857426,"about_ca_system_score_gemma":0.06921915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980877,"about_ca_topic_score_gemma":0.9985505,"domain_scores_codex":[0.998534,0.0001151251,0.00006777326,0.0001584649,0.0002467302,0.0008779705],"domain_scores_gemma":[0.9902226,0.00197679,0.001537238,0.0003019764,0.003068133,0.002893201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004639834,0.0001186912,0.9658334,0.00005919134,0.0001376753,0.0003232963,0.001013297,0.001773901,0.0001186897,0.007607009,0.009133557,0.01341737],"study_design_scores_gemma":[0.00005108484,0.00002682902,0.9866181,0.0001049932,0.0001132057,0.00006260508,0.002100637,0.00328857,0.000153578,0.002060403,0.00537562,0.00004431895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611277,0.003884703,0.0002649785,0.01539018,0.0001409431,0.00002780769,0.008405122,0.00004409537,0.01071449],"genre_scores_gemma":[0.990573,0.001055895,0.0001265761,0.0003491248,0.00005214478,0.000006202917,0.001356175,0.00001411859,0.006466764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04857426,"threshold_uncertainty_score":0.3524326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009080109469125753,"score_gpt":0.2131157746603031,"score_spread":0.2040356651911774,"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."}}