{"id":"W1982497397","doi":"10.1016/s0191-491x(02)00014-7","title":"Matching the grade 8 TIMSS item pool to the Ontario curriculum","year":2002,"lang":"en","type":"article","venue":"Studies In Educational Evaluation","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lakehead University","funders":"","keywords":"Mathematics education; Curriculum; Matching (statistics); Secondary education; Psychology; Pedagogy; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006091932,0.0004552029,0.0008759584,0.00277918,0.00163197,0.0013194,0.001001705,0.0005862346,0.01532464],"category_scores_gemma":[0.02805678,0.0003527284,0.001192516,0.003118737,0.0006877443,0.0005131838,0.001616825,0.0005514121,0.005923534],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007896907,"about_ca_system_score_gemma":0.0245979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4808241,"about_ca_topic_score_gemma":0.7813034,"domain_scores_codex":[0.9945759,0.001079833,0.0008775836,0.0004309253,0.002261057,0.0007746096],"domain_scores_gemma":[0.9823869,0.001877518,0.001344974,0.001608822,0.01178872,0.0009930335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002099798,0.001468109,0.6317484,0.0006047713,0.0002453816,0.0002201629,0.006314293,0.001601158,0.01074683,0.002586069,0.0780332,0.2643319],"study_design_scores_gemma":[0.0001586651,0.0003837085,0.9559973,0.0001328983,0.00007836178,0.00004161184,0.001492595,0.000821356,0.001849925,0.0003503727,0.03866275,0.00003048803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653688,0.0002822176,0.008903453,0.0009755732,0.0002629223,0.01019339,0.01556348,0.0004717539,0.09797835],"genre_scores_gemma":[0.8571397,0.0004773014,0.02360236,0.0005475727,0.00007735432,0.01971358,0.02412329,0.0002740551,0.07404473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9921031,"threshold_uncertainty_score":0.9560509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656116291663467,"score_gpt":0.4685884905270746,"score_spread":0.3029768613607279,"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."}}