{"id":"W2146700645","doi":"10.3102/0162373708328259","title":"Reading Instruction Time and Homogeneous Grouping in Kindergarten: An Application of Marginal Mean Weighting Through Stratification","year":2008,"lang":"en","type":"article","venue":"Educational Evaluation and Policy Analysis","topic":"School Choice and Performance","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reading (process); Psychology; Homogeneous; Weighting; Mathematics education; Multilevel model; Reading comprehension; Longitudinal study; Set (abstract data type); Computer science; Statistics; Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04612523,0.0007398627,0.001835551,0.002198159,0.001346407,0.001486956,0.001864211,0.0009084971,0.002909369],"category_scores_gemma":[0.1378046,0.0007986656,0.002755248,0.003153832,0.00355931,0.002657478,0.003985157,0.002489317,0.0001554381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478907,"about_ca_system_score_gemma":0.00289924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505088,"about_ca_topic_score_gemma":0.01058203,"domain_scores_codex":[0.9641622,0.02817225,0.001050726,0.002995072,0.002609374,0.001010342],"domain_scores_gemma":[0.8547169,0.1214027,0.006912624,0.01293106,0.003128009,0.0009086186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001949008,0.0008710944,0.2277345,0.0005443429,0.003132662,0.0004536364,0.008948515,0.03739807,0.002196159,0.3396659,0.00250743,0.3745986],"study_design_scores_gemma":[0.0003415827,0.002451586,0.1459572,0.000313424,0.002118122,0.0003172055,0.002780394,0.3998668,0.004870671,0.4287201,0.01187447,0.00038845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2670504,0.0007825299,0.7264994,0.0006007562,0.0001329114,0.0005389336,0.0002548785,0.0002891307,0.00385103],"genre_scores_gemma":[0.7623647,0.0002938814,0.2350521,0.0001236727,0.0000713477,0.0009054888,0.000151753,0.00007927344,0.0009578184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04612523,"threshold_uncertainty_score":0.2439364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578867278231784,"score_gpt":0.3879297195275477,"score_spread":0.3421410467452298,"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."}}