{"id":"W1586097867","doi":"","title":"Developing online learning for the auto parts industry","year":2003,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Georgian College","funders":"","keywords":"Auto industry; Computer science; Business; Artificial intelligence; Engineering; Automotive industry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001442156,0.0003754971,0.0001219183,0.0007042536,0.0008985958,0.001919719,0.0008331331,0.0009272909,0.0129383],"category_scores_gemma":[0.002965647,0.0001850136,0.0002948736,0.0004694486,0.000403315,0.004369461,0.002350998,0.000759109,0.002573235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594519,"about_ca_system_score_gemma":0.00242811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002000132,"about_ca_topic_score_gemma":0.00398638,"domain_scores_codex":[0.9995233,0.0001956484,0.0000233907,0.00006856865,0.0001139088,0.00007523413],"domain_scores_gemma":[0.9978141,0.0007673957,0.0001292254,0.0003552095,0.0003222015,0.0006118895],"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":[0.0001931837,0.007149244,0.01474103,0.0002217828,0.00002469558,0.0006372689,0.003909052,0.009246632,0.02793118,0.02214616,0.009491925,0.9043079],"study_design_scores_gemma":[0.0004689567,0.006860541,0.05826565,0.0007547599,0.0002430402,0.001535578,0.03367545,0.1696049,0.1863365,0.06410537,0.4779976,0.0001517072],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7259246,0.0001978496,0.1394249,0.001565514,0.00006040095,0.0007450663,0.000146905,0.002601467,0.1293332],"genre_scores_gemma":[0.6592425,0.0004088813,0.2989084,0.000222586,0.000023224,0.0002969536,0.0005392551,0.0002466252,0.04011158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129383,"threshold_uncertainty_score":0.04328287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632280651636827,"score_gpt":0.2985018843524518,"score_spread":0.2421790778360835,"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."}}