{"id":"W2421902556","doi":"","title":"PEDAGOGICAL IMPACT OF THE MULTIMEDIA ENHANCED ELECTRONIC TEACHING SYSTEM (MEETS) ON THE DELIVERY OF ENGINEERING COURSES","year":2010,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multimedia; Computer science; Adapter (computing); Computer graphics (images); Computer hardware","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":[0.00118224,0.0002149109,0.0001311732,0.0003951911,0.0003858542,0.0009399564,0.0004638689,0.0004781323,0.004637714],"category_scores_gemma":[0.005370179,0.00008971996,0.0001449523,0.0002173249,0.0003397088,0.000612021,0.001344721,0.0003546353,0.0005350995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000388922,"about_ca_system_score_gemma":0.0005759287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003124815,"about_ca_topic_score_gemma":0.0006820188,"domain_scores_codex":[0.9985172,0.000809006,0.00004946243,0.0001281934,0.0004235342,0.00007249984],"domain_scores_gemma":[0.9975049,0.001642879,0.0001596913,0.0001053326,0.000205358,0.0003818946],"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":[0.000783104,0.003306751,0.005685647,0.0003590473,0.00002381128,0.000530592,0.002478859,0.001828462,0.04107713,0.003625463,0.001910433,0.9383906],"study_design_scores_gemma":[0.002380191,0.1110947,0.2294636,0.001759898,0.0008934512,0.009294584,0.0147483,0.04846053,0.3048641,0.01111182,0.2655038,0.0004250039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314289,0.0005930639,0.03098089,0.0010461,0.0001894671,0.0002903663,0.00003602001,0.0004508769,0.03498434],"genre_scores_gemma":[0.9349666,0.0005499884,0.05650646,0.0003071,0.0001244604,0.0001040166,0.00002884202,0.00004698402,0.007365532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004637714,"threshold_uncertainty_score":0.01551473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008135416129786915,"score_gpt":0.2501323373451252,"score_spread":0.2419969212153383,"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."}}