{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006570506,0.0005650376,0.0003623295,0.00172621,0.00283305,0.005186833,0.001388245,0.002725242,0.01850813],"category_scores_gemma":[0.02153413,0.0001824523,0.0004436126,0.0008955606,0.001797099,0.006248645,0.002963388,0.00202317,0.004231845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598611,"about_ca_system_score_gemma":0.01173887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371869,"about_ca_topic_score_gemma":0.01837272,"domain_scores_codex":[0.9965597,0.001622792,0.000134223,0.0003213784,0.000878464,0.000483417],"domain_scores_gemma":[0.9850945,0.005300085,0.000726086,0.0008012343,0.005525631,0.002552438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008500007,0.001011108,0.007191878,0.001114504,0.00003394554,0.0002493811,0.009399807,0.0004330429,0.004047158,0.02369295,0.07416124,0.87858],"study_design_scores_gemma":[0.0001872758,0.0008117507,0.0693015,0.009256777,0.0003182426,0.0010896,0.08235057,0.002218539,0.01720024,0.07333802,0.7436648,0.0002627459],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1784111,0.03310658,0.04510121,0.4197266,0.003859672,0.0009366556,0.000285787,0.001356528,0.3172159],"genre_scores_gemma":[0.7961205,0.02918949,0.07815329,0.02831328,0.000664654,0.0006138401,0.0003065236,0.0002671892,0.06637126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01850813,"threshold_uncertainty_score":0.06191587,"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."}}