{"id":"W2036060244","doi":"10.4236/ce.2012.37b039","title":"Beneficial Experience from Teaching and Education to Research and Development","year":2012,"lang":"en","type":"article","venue":"Creative Education","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Excellence; Field (mathematics); Perception; Selection (genetic algorithm); Government (linguistics); Sociology; Psychology; Pedagogy; Political science; Computer science; Philosophy; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047169,0.0005161778,0.0003918617,0.0007712153,0.00611354,0.00911169,0.0009551839,0.002289199,0.008430681],"category_scores_gemma":[0.007044024,0.000282664,0.0005649245,0.0006280548,0.009393305,0.004105973,0.0117904,0.005450976,0.002065374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865676,"about_ca_system_score_gemma":0.003166048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127183,"about_ca_topic_score_gemma":0.002840894,"domain_scores_codex":[0.9926413,0.00441287,0.0001872316,0.0003998486,0.001388594,0.0009701886],"domain_scores_gemma":[0.9904538,0.004007116,0.0004294775,0.0007484861,0.0006797625,0.003681377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001869439,0.001102857,0.00546112,0.0009754978,0.0000596749,0.007496035,0.341859,0.000636667,0.006649317,0.1497882,0.1757455,0.3100393],"study_design_scores_gemma":[0.0000262114,0.0002228298,0.002109784,0.0003525016,0.0000113376,0.005523853,0.05839223,0.0001770494,0.001159145,0.01247837,0.9194969,0.00004977828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2671243,0.02324493,0.04095541,0.1232786,0.009326546,0.0002266146,0.0001768889,0.0009087411,0.5347579],"genre_scores_gemma":[0.7867733,0.01343417,0.0199606,0.02731364,0.002848398,0.0001378358,0.00008842217,0.0002802795,0.1491633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00911169,"threshold_uncertainty_score":0.02820349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.337000750823388,"score_gpt":0.5630520424624388,"score_spread":0.2260512916390507,"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."}}