{"id":"W3001809727","doi":"10.24908/pceea.vi0.13705","title":"Blended Learning in First Year Engineering Labs","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Pace; Deliverable; Coursework; Multimedia; Mathematics education; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002246998,0.0001105372,0.0001556828,0.0004192789,0.0001930567,0.00009230292,0.0003181187,0.0001624948,0.00007766448],"category_scores_gemma":[0.004968798,0.0001238294,0.00005337705,0.001074853,0.00001391703,0.0003292008,0.00002440004,0.0004664893,0.00002529985],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003922638,"about_ca_system_score_gemma":0.001077789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02064722,"about_ca_topic_score_gemma":0.02318102,"domain_scores_codex":[0.998827,0.00002475629,0.0002367355,0.0001687935,0.0003636476,0.0003790247],"domain_scores_gemma":[0.9990571,0.0001409965,0.0002394193,0.00006792332,0.0003843712,0.0001102448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001544212,0.0000253961,0.853528,0.0001245703,0.000030483,4.447239e-8,0.01122845,0.003651584,0.001926424,0.126566,0.002529199,0.0003882865],"study_design_scores_gemma":[0.0003764101,0.00001864171,0.708182,0.0004094017,0.00002025729,6.003253e-7,0.00449096,0.003008218,0.001413792,0.0005233664,0.2810711,0.0004852087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499721,0.00003182592,0.00002801396,0.008235388,0.002220877,0.0005151149,0.000003853292,0.0001448548,0.03884797],"genre_scores_gemma":[0.9896534,0.000005381436,0.002735771,0.00007252677,0.0001796969,0.00002358629,0.000002145571,0.00002717298,0.007300328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785419,"threshold_uncertainty_score":0.9999011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007571492101726619,"score_gpt":0.250767656239437,"score_spread":0.2431961641377104,"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."}}