{"id":"W3119864596","doi":"10.1111/padr.12369","title":"Child Marriage in Canada","year":2021,"lang":"en","type":"article","venue":"Population and Development Review","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Child marriage; Inequality; Political science; Developing country; Economic growth; Development economics; Demographic economics; Geography; Demography; Socioeconomics; Sociology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002451155,0.0000432164,0.000108587,0.00002017063,0.0001341834,0.00001692155,0.00003437186,0.00001339139,0.000481247],"category_scores_gemma":[0.00004554614,0.00003896678,0.000008926797,0.000220836,0.000007328476,0.00004760807,0.00001487966,0.00003681403,0.000002777265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006386547,"about_ca_system_score_gemma":0.0006286093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.566204,"about_ca_topic_score_gemma":0.9945482,"domain_scores_codex":[0.9993674,0.00008559457,0.0001699124,0.0001112855,0.0001628756,0.0001029057],"domain_scores_gemma":[0.9998375,0.00001354015,0.0000333165,0.0000418518,0.00001880238,0.00005496877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[2.281596e-7,0.000005310416,0.5081242,0.0001317263,0.000003594363,0.000005319346,0.000559749,1.774608e-7,3.659457e-8,0.00379313,0.000789117,0.4865874],"study_design_scores_gemma":[0.00003252449,2.6208e-7,0.6154794,0.0002916955,0.000001465549,6.047551e-7,0.0002011072,3.702948e-7,4.681484e-7,0.0001304305,0.3838158,0.00004589388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1639214,0.5467271,0.00006734183,0.0309072,0.0009823442,0.0007136872,0.000006475582,0.00007325615,0.2566011],"genre_scores_gemma":[0.928302,0.06912515,0.0005161377,0.001589772,0.00001458048,0.000009752568,0.00003343925,0.000001848231,0.000407323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7643806,"threshold_uncertainty_score":0.5269318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680453025835595,"score_gpt":0.2929938128899009,"score_spread":0.2561892826315449,"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."}}