{"id":"W2091240238","doi":"10.3138/cpp.2012-060","title":"Aboriginal Early School Leavers On- and Off-Reserve: An Empirical Analysis","year":2014,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Curriculum; Perspective (graphical); Dropout (neural networks); School dropout; Sociology; Demographic economics; Psychology; Demography; Pedagogy; Socioeconomics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009208172,0.0001253957,0.0002055761,0.00149706,0.0007685774,0.0005912856,0.0003769758,0.0001525834,0.000623129],"category_scores_gemma":[0.0007101053,0.0001278203,0.00007681475,0.002229684,0.0002474783,0.0004431692,0.000006610627,0.0001649598,0.0001952477],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000631135,"about_ca_system_score_gemma":0.008370369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9287708,"about_ca_topic_score_gemma":0.9225187,"domain_scores_codex":[0.9980641,0.0004225552,0.000187798,0.0002963886,0.0002957174,0.0007334449],"domain_scores_gemma":[0.9958597,0.00008937674,0.00006856966,0.0003786838,0.0001488964,0.003454788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001216198,0.00001314544,0.5105315,0.000002184411,0.00006056088,0.00000100431,0.007764722,0.000001230035,5.113373e-7,0.4543387,0.02158264,0.005702611],"study_design_scores_gemma":[0.00008223009,0.0000262573,0.2890407,0.000001969053,0.00001581214,4.760616e-7,0.0009521656,0.00003083321,2.395062e-7,0.000426644,0.7093089,0.0001137929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8083896,0.00002539791,0.000006681746,0.06385975,0.0001328717,0.0001037241,0.00004174325,0.00004074101,0.1273995],"genre_scores_gemma":[0.9835817,0.00002693416,0.00002596518,0.007908359,0.002278361,0.00001594912,0.00001527886,0.00001221324,0.006135265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877262,"threshold_uncertainty_score":0.9972513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904480454849268,"score_gpt":0.4010776000599889,"score_spread":0.3620327955114962,"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."}}