{"id":"W2208883459","doi":"10.2139/ssrn.2230799","title":"A Structural Model of Educational Attainment in Canada","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Attendance; Percentage point; Demography; Educational attainment; Demographic economics; Standard deviation; Affect (linguistics); Psychology; Economics; Statistics; Mathematics; Economic growth; Sociology","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":[0.001036853,0.0005292192,0.001151596,0.002178361,0.004481176,0.005561675,0.002699847,0.001740338,0.01617733],"category_scores_gemma":[0.004522832,0.0006577624,0.001088035,0.004803097,0.002366162,0.001614552,0.001589253,0.002052094,0.0008863718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05693724,"about_ca_system_score_gemma":0.06349453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920868,"about_ca_topic_score_gemma":0.9907256,"domain_scores_codex":[0.9989651,0.0001683046,0.00002962932,0.0001634196,0.0001461934,0.0005272543],"domain_scores_gemma":[0.9972659,0.0007858358,0.000324976,0.0001095278,0.0009314365,0.0005822414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001427669,0.0001771133,0.06200629,0.0001095445,0.0001673188,0.0003787443,0.002204563,0.1956499,0.0002305314,0.7073572,0.01341636,0.01815967],"study_design_scores_gemma":[0.0002740574,0.0001321439,0.09345219,0.0003388869,0.000393978,0.0001599154,0.006986971,0.6328795,0.0002172565,0.2333499,0.03160404,0.0002112388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8305023,0.002095008,0.02247627,0.02505071,0.0001536114,0.0002531634,0.01194975,0.0003617003,0.1071574],"genre_scores_gemma":[0.9799792,0.0007945744,0.001738916,0.0001843147,0.00002955378,0.00005188829,0.0007448855,0.00002415176,0.01645254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05693724,"threshold_uncertainty_score":0.4131105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318775956780093,"score_gpt":0.2957412607856506,"score_spread":0.2725535012178497,"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."}}