{"id":"W7099943934","doi":"","title":"Public Subsidies to Private Schools Do Make a Difference for Achievement in Mathematics: Longitudinal Evidence from Canada","year":2009,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Interpretation (philosophy); Data collection; Research center; Report card; Longitudinal data; Public funding; Statistical analysis","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":[0.006206266,0.0006199672,0.001343886,0.002835211,0.006358396,0.003681777,0.00439682,0.001854541,0.01073512],"category_scores_gemma":[0.02596069,0.001006163,0.001883029,0.009297632,0.002264003,0.001664863,0.003307994,0.003444637,0.0008257185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03423982,"about_ca_system_score_gemma":0.06525454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969214,"about_ca_topic_score_gemma":0.9976822,"domain_scores_codex":[0.9935908,0.0009699371,0.0004580042,0.001151534,0.001663931,0.002165778],"domain_scores_gemma":[0.9547464,0.007110292,0.0105799,0.00414118,0.01620734,0.00721491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002346341,0.0001156631,0.977435,0.00008050363,0.0004543184,0.0001373279,0.003118837,0.0003367975,0.00006314303,0.001813532,0.007638267,0.008571898],"study_design_scores_gemma":[0.00003942371,0.00003095291,0.9921543,0.0002415838,0.000263768,0.00003964291,0.002814756,0.0005621391,0.00006448021,0.0003268164,0.003422729,0.00003927743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526451,0.009365371,0.0005012757,0.01022282,0.0001798986,0.00008767576,0.01642416,0.00004620708,0.01052736],"genre_scores_gemma":[0.9897944,0.002059783,0.0003301659,0.000493617,0.00002636884,0.00003487678,0.003628971,0.00003253193,0.003599245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03423982,"threshold_uncertainty_score":0.2484285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0985497103293503,"score_gpt":0.2506514377123685,"score_spread":0.1521017273830182,"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."}}