{"id":"W1802181823","doi":"","title":"On How to Improve Cultural Education Ability of Instructors","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Connotation; Nature versus nurture; Duty; Ideology; Set (abstract data type); Politics; Engineering ethics; Order (exchange); Pedagogy; Sociology; Political education; Psychology; Mathematics education; Political science; Engineering; Computer science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003306286,0.00005075103,0.00005546445,0.0001697173,0.0001966344,0.0001137802,0.0006539834,0.0000263674,0.000003351184],"category_scores_gemma":[0.0001812603,0.0000472293,0.00001480443,0.00129944,0.0002007162,0.0004496764,0.00003729274,0.00004912126,0.000008606123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005891002,"about_ca_system_score_gemma":0.004180885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986382,"about_ca_topic_score_gemma":0.002615026,"domain_scores_codex":[0.9992169,0.0000133808,0.00008008697,0.0002221644,0.0002773835,0.0001900851],"domain_scores_gemma":[0.9986598,0.00001332516,0.00004352499,0.000189145,0.0007357484,0.0003584855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[3.56781e-7,0.00001793795,0.0004910401,0.000001762002,7.211277e-7,6.593791e-8,0.003359331,8.369697e-7,0.001053399,0.9585403,0.004380859,0.03215338],"study_design_scores_gemma":[0.0006197147,0.0007978906,0.581384,0.00007067411,0.000009297094,0.000008626023,0.1068763,0.000718771,0.01652199,0.1896262,0.1018127,0.001553797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432223,0.000009447038,0.0002937786,0.01901788,0.001239246,0.000107062,0.000007046732,0.00001320427,0.03608999],"genre_scores_gemma":[0.9966637,2.24625e-7,0.00236191,0.0007378661,0.0001115593,0.0000108758,0.000001042604,0.000001434211,0.0001113526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7689141,"threshold_uncertainty_score":0.741671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779587590097506,"score_gpt":0.3088193883014904,"score_spread":0.2710235124005153,"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."}}