{"id":"W2625393830","doi":"","title":"(In)Equity and Academic Streaming in Ontario: Effects on Students and Teachers and How to Overcome These","year":2016,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of International Science and Engineering","keywords":"Equity (law); Mathematics education; Psychology; Computer science; Pedagogy; Business; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002429732,0.00008053376,0.0001501253,0.00005675648,0.000035162,0.00002293667,0.0002762506,0.00006051311,0.00001438796],"category_scores_gemma":[0.00003249618,0.0000743038,0.00001260127,0.00003954074,0.000038769,0.0005009122,0.0006406282,0.0001322985,9.285009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297611,"about_ca_system_score_gemma":0.00002203743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1569508,"about_ca_topic_score_gemma":0.3977953,"domain_scores_codex":[0.9993599,0.00005495894,0.00003217313,0.000242294,0.0001591819,0.000151492],"domain_scores_gemma":[0.9996007,0.0001225442,0.00003903317,0.0001325138,0.00000860794,0.00009660226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003289587,0.0000409438,0.7996114,0.00002179983,0.00001530253,0.00004166306,0.04518457,0.000005346922,0.002009695,0.0005894451,0.00004164727,0.1524053],"study_design_scores_gemma":[0.0007904079,0.000184927,0.9971943,0.0001612585,0.000005439892,0.000001306391,0.001057264,0.0002432527,0.00002372057,0.00009961624,0.0001458247,0.00009270043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909523,0.00007265895,0.000451223,0.008115037,0.00002281579,0.00007581445,4.927367e-7,0.00001235461,0.0002973451],"genre_scores_gemma":[0.9963298,0.00009570197,0.001407319,0.00005419021,0.000006003103,6.773887e-8,7.392028e-8,0.000002433556,0.002104419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2408445,"threshold_uncertainty_score":0.8486632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940950725232903,"score_gpt":0.2916464754687038,"score_spread":0.2722369682163747,"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."}}