{"id":"W38264947","doi":"10.1002/ctm2.1544","title":"A Tale of Two Schools' Data.","year":2003,"lang":"en","type":"article","venue":"Educational leadership","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Mathematics education; Set (abstract data type); Psychology; Population; School district; Pedagogy; Sociology; Demography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009513445,0.0008556638,0.0009636406,0.003021566,0.004058809,0.008859204,0.002165542,0.01187903,0.08098628],"category_scores_gemma":[0.0576984,0.0005300114,0.001333134,0.002328472,0.00420662,0.01147805,0.007533745,0.01980839,0.03710791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415581,"about_ca_system_score_gemma":0.009515557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007970093,"about_ca_topic_score_gemma":0.01482975,"domain_scores_codex":[0.9927667,0.001627895,0.0005362593,0.0008779041,0.003149297,0.001041849],"domain_scores_gemma":[0.9693551,0.006681482,0.001099263,0.002396772,0.01244042,0.008026994],"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":[0.00003107311,0.00001466156,0.0002399115,0.00007437393,0.000009108431,0.00007776338,0.00007483854,0.00001495706,0.00003729086,0.006333941,0.9616043,0.03148769],"study_design_scores_gemma":[0.00000880401,0.00001209268,0.0002761266,0.0001791646,0.000006092843,0.0001162917,0.0001653557,0.00001179837,0.0000295014,0.002263359,0.9969211,0.00001040685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.000325472,0.01932422,0.0007724517,0.8312342,0.1277804,0.00002909497,0.0004644117,0.0002157291,0.01985394],"genre_scores_gemma":[0.007386564,0.02430916,0.002308846,0.7378986,0.08118961,0.0001131458,0.001042648,0.0004175875,0.1453339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08098628,"threshold_uncertainty_score":0.2709261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3131468929893535,"score_gpt":0.4496923504048779,"score_spread":0.1365454574155244,"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."}}