{"id":"W2037745565","doi":"10.5430/ijhe.v2n3p115","title":"Teaching Quality Management Model for the Training of Innovation Ability and the Multilevel Decomposition Indicators","year":2013,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality function deployment; Decomposition; Curriculum; Quality (philosophy); Software deployment; Multilevel model; Computer science; Function (biology); Training (meteorology); Knowledge management; Quality management; Engineering management; Management system; Engineering; Psychology; Pedagogy; Operations management; Software engineering; Machine learning","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":[0.002867946,0.00008924006,0.0001296737,0.0003550441,0.0001362567,0.0001813616,0.00032405,0.00002599711,0.00006195433],"category_scores_gemma":[0.0002787453,0.00005553683,0.00006405591,0.0001747075,0.00009779347,0.001015776,0.00005113704,0.0001400478,0.000003105874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006859716,"about_ca_system_score_gemma":0.000048779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613872,"about_ca_topic_score_gemma":0.000001323643,"domain_scores_codex":[0.998541,0.00005447644,0.0007847692,0.0001167661,0.0004240373,0.00007896474],"domain_scores_gemma":[0.9971614,0.0003367261,0.001267495,0.0001353768,0.00109244,0.000006506816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003271423,0.0003118387,0.004135695,0.0001166688,0.0003232711,8.154714e-8,0.001272731,0.001373459,0.0008302872,0.7792432,0.006722452,0.2053432],"study_design_scores_gemma":[0.004142468,0.00002604713,0.4261324,0.0001853626,0.0003554719,0.00001099232,0.003183523,0.06863762,0.0001980655,0.475057,0.02177957,0.0002915429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452281,0.0001574995,0.09897505,0.04914796,0.003735603,0.001015396,0.000003352136,0.00002242619,0.001714638],"genre_scores_gemma":[0.9930747,0.000006807881,0.002868703,0.002444536,0.001004364,0.00007253063,0.00001266077,0.000009902494,0.0005058346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4219967,"threshold_uncertainty_score":0.2264726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05932439377039877,"score_gpt":0.3604782003833552,"score_spread":0.3011538066129564,"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."}}