{"id":"W2924392148","doi":"10.3968/10902","title":"The Application of Full English Teaching Model in Aviation Theory Courses","year":2018,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Enthusiasm; General aviation; Class (philosophy); Aviation engineering; Aeronautics; Mathematics education; Computer science; Engineering; Psychology; Aerospace engineering; Civil aviation; Artificial intelligence","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":[0.001755601,0.0002353747,0.0001675388,0.001214735,0.0007957933,0.001913681,0.0006334438,0.0003975362,0.003559132],"category_scores_gemma":[0.005751056,0.0001614017,0.0003808494,0.0006948231,0.0006436313,0.0018026,0.00130357,0.000430003,0.0005011253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002487683,"about_ca_system_score_gemma":0.003691701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00445477,"about_ca_topic_score_gemma":0.004221327,"domain_scores_codex":[0.9977519,0.0008107995,0.00009763095,0.0002680148,0.0008159827,0.0002556696],"domain_scores_gemma":[0.9955634,0.001706776,0.0005307278,0.0003287802,0.001191402,0.0006789304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005297579,0.001857974,0.273508,0.0005564276,0.0000703211,0.001001694,0.02896923,0.009036507,0.01766692,0.08713319,0.005914082,0.5737559],"study_design_scores_gemma":[0.0002049477,0.001950711,0.6729972,0.0006170049,0.0002348218,0.00261075,0.05460203,0.1341732,0.01372552,0.05209447,0.06658763,0.0002017604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895189,0.0002651227,0.05241295,0.0009324009,0.00005265405,0.0002672117,0.00008967696,0.000193306,0.05059764],"genre_scores_gemma":[0.9870172,0.00008824701,0.009313016,0.00006238541,0.00001067906,0.00009392887,0.00005470344,0.00001915258,0.003340651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00445477,"threshold_uncertainty_score":0.01804954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350237469876897,"score_gpt":0.4023240867200188,"score_spread":0.3788217120212499,"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."}}