{"id":"W3033924390","doi":"10.1177/0020720920928477","title":"College multimedia teaching system devise and application evaluation","year":2020,"lang":"en","type":"article","venue":"International Journal of Electrical Engineering Education","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Multimedia; Software; Perspective (graphical); Gray (unit); Sample (material); Index (typography); Evaluation methods; World Wide Web; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Expression of concern","reason":"Compromised Peer Review;Investigation by Journal/Publisher;","date":"12/15/2021 0:00","openalex_flagged":false},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009731334,0.0005007543,0.0004660191,0.004450729,0.0009945163,0.00272927,0.0007687247,0.0004401734,0.009984108],"category_scores_gemma":[0.02022786,0.0001790085,0.0004624164,0.003003559,0.000564051,0.002053479,0.001427596,0.0005869245,0.001672402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598651,"about_ca_system_score_gemma":0.003045656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004995383,"about_ca_topic_score_gemma":0.004537378,"domain_scores_codex":[0.9915335,0.002199956,0.0005377192,0.0005248864,0.004900849,0.0003031815],"domain_scores_gemma":[0.9843851,0.002657196,0.0004791661,0.0009560537,0.01075951,0.0007630325],"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":[0.0005319873,0.001075649,0.02770056,0.000882485,0.00007032323,0.0002053807,0.002794764,0.007123216,0.01840371,0.0191161,0.01524839,0.9068474],"study_design_scores_gemma":[0.0005031344,0.007081736,0.1488481,0.0007637521,0.0005936261,0.001291668,0.01008817,0.2832494,0.2258675,0.01427553,0.3070315,0.0004058385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5838761,0.001548662,0.2088368,0.001334585,0.0004627638,0.008942411,0.002218737,0.003898456,0.1888814],"genre_scores_gemma":[0.821853,0.0009804855,0.1361829,0.0001709595,0.0001302549,0.002634907,0.00177797,0.0002998935,0.03596964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009984108,"threshold_uncertainty_score":0.05146486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587331947600442,"score_gpt":0.3538570804178024,"score_spread":0.3379837609417981,"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."}}