{"id":"W4308803080","doi":"10.24908/pceea.vi.15858","title":"Online Survey Tool for Multi-Cohort Courses","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Multivariate analysis of variance; Cohort; Perception; Medical education; Psychology; Mathematics education; Course (navigation); Computer science; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01439784,0.0008379487,0.0006937182,0.005711352,0.0005562797,0.001012561,0.0008530957,0.0006822817,0.06327861],"category_scores_gemma":[0.03532598,0.0004638218,0.0006495261,0.00280925,0.0002006111,0.001470798,0.001642197,0.0009244023,0.02039873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688065,"about_ca_system_score_gemma":0.001605371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008654094,"about_ca_topic_score_gemma":0.001396474,"domain_scores_codex":[0.9929128,0.00302642,0.00148979,0.0005712107,0.001623663,0.0003762364],"domain_scores_gemma":[0.9394743,0.03757768,0.003598502,0.005303238,0.01219156,0.001854685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009760745,0.001914101,0.02682826,0.001368045,0.00007266111,0.000212429,0.001842079,0.000635617,0.006078612,0.002907694,0.2401901,0.7169744],"study_design_scores_gemma":[0.0008914769,0.001839132,0.1648355,0.000789298,0.00008647724,0.0004292776,0.002829801,0.01106549,0.01393871,0.005482689,0.7975583,0.0002539604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1764856,0.000396404,0.3090375,0.002587548,0.002176718,0.06019609,0.2870128,0.08067534,0.08143216],"genre_scores_gemma":[0.2282623,0.0005104055,0.4706807,0.001585911,0.0005354909,0.1392145,0.09447876,0.004308894,0.06042309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06327861,"threshold_uncertainty_score":0.211688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252222463487662,"score_gpt":0.3012223055589883,"score_spread":0.2760000592102221,"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."}}