{"id":"W7095429302","doi":"","title":"University of Toronto and Queen’s University","year":2004,"lang":"en","type":"article","venue":"","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; Grading (engineering); Exaggeration; Grade inflation; Incentive; Construct (python library)","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":[0.00007122426,0.00001785999,0.00003294004,0.000004937823,0.0001583667,0.000003093216,0.00006820463,0.0000264833,0.0005696561],"category_scores_gemma":[0.000005137579,0.00001986806,0.00001113254,0.00003130061,0.00009085952,0.0002727961,0.00001627938,0.00001763101,0.000008997572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008835141,"about_ca_system_score_gemma":0.00007832707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3635497,"about_ca_topic_score_gemma":0.2745875,"domain_scores_codex":[0.9998011,0.00001388521,0.00001564206,0.00004812741,0.00006152919,0.00005971884],"domain_scores_gemma":[0.9998713,0.00001038718,0.00001211791,0.00003868042,0.00002334222,0.00004416025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001234815,0.0001045367,0.2663585,0.00002727242,0.00003742276,0.00001974553,0.07920203,0.00003877106,0.0002194469,0.6348077,0.007791325,0.01126979],"study_design_scores_gemma":[0.0006979462,0.00004329025,0.2239762,0.00001210864,0.00001277683,1.919526e-7,0.0757473,0.000002671469,0.000115437,0.0007166665,0.698566,0.0001093915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988686,0.0000408406,0.00009979542,0.001150028,0.00003035578,0.00002800436,0.000001369055,0.0000212699,0.2997597],"genre_scores_gemma":[0.9893428,0.0008747356,0.0003832232,0.00002589224,0.00002417645,2.954747e-9,2.092639e-7,5.785632e-7,0.009348368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6907747,"threshold_uncertainty_score":0.7386494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040151625955554,"score_gpt":0.2332701619655889,"score_spread":0.2228686457060334,"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."}}