{"id":"W2092540138","doi":"10.3138/cpp.39.2.287","title":"Summer Learning Inequality in Ontario","year":2013,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"School Choice and Performance","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Literacy; Inequality; Quartile; Geography; Scale (ratio); Sample (material); Political science; Psychology; Demographic economics; Demography; Sociology; Economics; Pedagogy; Statistics; Mathematics; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001064989,0.0001916289,0.0005084249,0.001541326,0.007162826,0.002011205,0.001028059,0.0004502718,0.005231839],"category_scores_gemma":[0.002975123,0.0002267191,0.0003481726,0.00506032,0.001469438,0.0007448068,0.001927752,0.0006663548,0.0001821482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1105209,"about_ca_system_score_gemma":0.1129164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979326,"about_ca_topic_score_gemma":0.9993704,"domain_scores_codex":[0.9979951,0.000124112,0.00004756409,0.0001881058,0.0004179005,0.001227111],"domain_scores_gemma":[0.9966816,0.0002419887,0.0004532254,0.0001180439,0.001035701,0.00146933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002646906,0.0001087926,0.8662546,0.0002142377,0.00006015489,0.0005378478,0.03534153,0.001053641,0.0007183892,0.01884587,0.02813349,0.04846689],"study_design_scores_gemma":[0.00001021839,0.00002060857,0.9693127,0.00007847898,0.000009413369,0.00003439254,0.008912455,0.0004121922,0.00008107812,0.0006221982,0.0204892,0.00001698424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568756,0.0009016156,0.0001649743,0.006168238,0.00003107302,0.00006072331,0.005591525,0.00002472165,0.03018161],"genre_scores_gemma":[0.990307,0.0004242034,0.0001726719,0.0003218315,0.00001365993,0.00003643809,0.001103039,0.00001213837,0.007609024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105209,"threshold_uncertainty_score":0.8018888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06762254127330797,"score_gpt":0.3189559781462916,"score_spread":0.2513334368729837,"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."}}