{"id":"W2019919421","doi":"10.1007/s10833-009-9108-z","title":"Large-scale reform comes of age","year":2009,"lang":"en","type":"article","venue":"Journal of Educational Change","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":350,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Witness; Scale (ratio); Aside; Government (linguistics); Literacy; Period (music); Political science; Education reform; Public administration; Economic growth; Higher education; Economics; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001632937,0.0000844203,0.0002405944,0.000364547,0.00006494678,0.00005499301,0.0004957635,0.00003500187,0.001659849],"category_scores_gemma":[0.0004076166,0.00005642381,0.0001570835,0.0004115826,0.00003294116,0.000565487,0.00002569701,0.0001154783,0.00003772057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458103,"about_ca_system_score_gemma":0.0003166509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009277891,"about_ca_topic_score_gemma":0.00001905558,"domain_scores_codex":[0.9975868,0.00004670291,0.0008031403,0.0001149728,0.001302514,0.0001458242],"domain_scores_gemma":[0.9975007,0.0003933853,0.0008515788,0.0001917166,0.0009443402,0.0001182708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003007728,0.01029624,0.2349298,0.00004596442,0.0001911703,0.000009253528,0.03506488,0.00001411504,0.009559762,0.2656198,0.3851776,0.05879064],"study_design_scores_gemma":[0.0003340156,0.0003933495,0.8285917,0.00003727142,0.00001413195,0.00001890724,0.00558106,0.00001367042,0.0004715245,0.1187635,0.04569407,0.00008676898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923149,0.0007392917,0.00009519603,0.08910476,0.0017397,0.00013404,0.00002196013,0.000002077984,0.01584808],"genre_scores_gemma":[0.9905586,0.00004143809,0.002359566,0.001519577,0.001381466,0.000003835319,0.000008150595,0.000003666581,0.004123659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5936619,"threshold_uncertainty_score":0.9992528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1772283069319048,"score_gpt":0.4583744611215807,"score_spread":0.2811461541896759,"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."}}