{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005418287,0.00007113168,0.00009302498,0.0004381161,0.0003856145,0.0002452011,0.0002667099,0.0001063866,0.005144971],"category_scores_gemma":[0.0007089111,0.00007706743,0.00002715126,0.0006497836,0.00009039808,0.0007774343,0.00001477869,0.0003602566,0.0009719451],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926345,"about_ca_system_score_gemma":0.01290838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998649,"about_ca_topic_score_gemma":0.9999795,"domain_scores_codex":[0.9986883,0.0001254726,0.0001375811,0.0001393026,0.0001571182,0.0007522252],"domain_scores_gemma":[0.9988831,0.00003846646,0.00003224594,0.0001351323,0.00007274737,0.0008382921],"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":[2.317246e-7,0.000003803589,0.9521791,0.000001196574,0.000002204111,0.000001458231,0.006835101,0.000001464741,0.000001361169,0.02027775,0.01234364,0.008352702],"study_design_scores_gemma":[0.00005603933,0.000003216125,0.4497996,0.00000252017,3.160858e-7,1.710097e-7,0.0006412108,0.000005447626,4.433615e-7,0.0005993508,0.5488265,0.0000651808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.718195,0.00001735893,5.157558e-7,0.02927292,0.00008717585,0.00009409079,0.000001345618,0.00002125646,0.2523103],"genre_scores_gemma":[0.975271,0.00001181198,0.00001251548,0.003877245,0.0005429609,0.00002830445,0.000007867612,0.000006313109,0.02024192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5364829,"threshold_uncertainty_score":0.9998059,"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."}}