{"id":"W7097529266","doi":"","title":"Religions, Human Capital and Earnings in Canada","year":2009,"lang":"en","type":"article","venue":"","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Earnings; Religiosity; Variable (mathematics); Diversity (politics); Immigration; Rate of return","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":[0.0004688337,0.0002069709,0.0002293803,0.001242807,0.002204523,0.001349882,0.0006476982,0.0002476703,0.003215223],"category_scores_gemma":[0.002122312,0.0001125299,0.0003147022,0.003359079,0.0006581142,0.0002877243,0.0008567472,0.0005846185,0.0002121114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02166396,"about_ca_system_score_gemma":0.02278767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997001,"about_ca_topic_score_gemma":0.9978355,"domain_scores_codex":[0.9996477,0.00002916324,0.00001475242,0.00003962037,0.0001142228,0.00015446],"domain_scores_gemma":[0.9982927,0.0001752222,0.0003762935,0.00004620468,0.0005808859,0.0005286946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005950324,0.00005250471,0.984672,0.00002293179,0.00003712547,0.0001073704,0.0007811463,0.0007168725,0.0000645391,0.001219442,0.002366279,0.009900174],"study_design_scores_gemma":[0.000006061112,0.00001124648,0.9953583,0.00003246015,0.00001368582,0.00002359198,0.00155644,0.000945215,0.00005111795,0.0001575745,0.001833512,0.00001095106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913673,0.0007788375,0.00006797574,0.0007638364,0.00001164518,0.00001406827,0.003282307,0.000009329571,0.00370464],"genre_scores_gemma":[0.9958875,0.0005130191,0.0001228069,0.000045572,0.000004112502,0.000004279108,0.001277615,0.00000258453,0.002142479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02166396,"threshold_uncertainty_score":0.1571838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280882336928712,"score_gpt":0.2515666315381167,"score_spread":0.2387578081688296,"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."}}