{"id":"W293399827","doi":"","title":"Tracking middle school students for instruction: a study of homogeneous and heterogeneous grouping","year":2013,"lang":"en","type":"article","venue":"John Spoor Broome Library Institutional Repository (California State University)","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Quarter (Canadian coin); Tracking (education); Homogeneous; Curriculum; Socioeconomic status; Psychology; Academic achievement; Middle class; Class (philosophy); Academic year; Test (biology); Mathematics; Pedagogy; Demography; Computer science; Geography; Population; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00420794,0.0003435152,0.0006510203,0.001024076,0.002470361,0.001717163,0.0007648381,0.0007747717,0.001047937],"category_scores_gemma":[0.01332191,0.0003825954,0.0006972253,0.0008362979,0.001393322,0.0009774156,0.001622534,0.0009759844,0.000239606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139575,"about_ca_system_score_gemma":0.00125759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009108097,"about_ca_topic_score_gemma":0.01068713,"domain_scores_codex":[0.9967019,0.001385232,0.0001903357,0.0004165307,0.0007915,0.0005144037],"domain_scores_gemma":[0.9916369,0.003226815,0.002152585,0.001025947,0.000534764,0.001423013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001871489,0.01362373,0.8570212,0.00006725417,0.0001718138,0.0004366811,0.07055366,0.000218859,0.004528196,0.0004116326,0.0003463231,0.05074925],"study_design_scores_gemma":[0.000115533,0.003833527,0.9734124,0.00002268412,0.00008310931,0.00007944683,0.01939918,0.000397212,0.001115115,0.0002317583,0.001278377,0.00003163221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997118,0.00001465842,0.00003778232,0.00001858545,0.000002877334,0.00001897875,0.000003517465,0.000001316468,0.0001903847],"genre_scores_gemma":[0.9995752,0.0000225613,0.0001118365,0.00003823715,0.000006277995,0.00002801222,0.00001996111,0.00000163071,0.0001963011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009108097,"threshold_uncertainty_score":0.02225399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716700170618331,"score_gpt":0.235720388556056,"score_spread":0.2185533868498727,"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."}}