{"id":"W4237263515","doi":"10.24124/2001/bpgub1222","title":"Curriculum based measurement norming for math (calculation) in School District 57","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics education; Curriculum; School district; Mathematics; Psychology; Computer science; Pedagogy","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":[0.02876642,0.0002556969,0.000830557,0.002135602,0.002001187,0.002534917,0.001556918,0.0006001753,0.001744068],"category_scores_gemma":[0.1198768,0.0005097742,0.0005582623,0.003191958,0.00170328,0.001605604,0.003217029,0.00152688,0.0004368463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004239169,"about_ca_system_score_gemma":0.005982448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03307476,"about_ca_topic_score_gemma":0.04427018,"domain_scores_codex":[0.9625266,0.02207061,0.002355861,0.002571778,0.009220158,0.001254978],"domain_scores_gemma":[0.9070337,0.04217265,0.008801178,0.009576352,0.02987353,0.002542622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000632113,0.001166207,0.8314737,0.0002387947,0.0001979811,0.00003388835,0.01492691,0.005439988,0.001773947,0.02238206,0.004260961,0.1174734],"study_design_scores_gemma":[0.00003681955,0.0005155929,0.9777091,0.00008729275,0.00006159256,0.00002501571,0.006869034,0.004767691,0.0028278,0.003407364,0.003655731,0.00003704635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654555,0.00009292895,0.01586162,0.0003110358,0.00006112672,0.0002574307,0.0004173711,0.0001017243,0.01744125],"genre_scores_gemma":[0.9905343,0.00002824266,0.007501743,0.00002580404,0.000006754737,0.0003169147,0.0003620826,0.00002927421,0.001194811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03307476,"threshold_uncertainty_score":0.1521331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04888714140486194,"score_gpt":0.3745377816643267,"score_spread":0.3256506402594647,"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."}}