{"id":"W2239566875","doi":"10.24908/pceea.v0i0.3766","title":"TEACHING AND ACCESS TO INDUSTRY STANDARDS IN CANADA: EXPERIENCE AT QUEEN'S UNIVERSITY AND THE UNIVERSITY OF TORONTO","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Queen (butterfly); State (computer science); Higher education; Exploratory research; Political science; Engineering; Sociology; Library science; Computer science; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002989777,0.0004374503,0.0006571133,0.00125239,0.04057968,0.008088292,0.001875739,0.002437844,0.007769497],"category_scores_gemma":[0.007707958,0.0006731235,0.0004706178,0.006238902,0.009389317,0.002410451,0.005968663,0.003544945,0.0006216724],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1539948,"about_ca_system_score_gemma":0.2279339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937449,"about_ca_topic_score_gemma":0.9983817,"domain_scores_codex":[0.991235,0.001318004,0.0002479038,0.0005705447,0.003122681,0.003505722],"domain_scores_gemma":[0.9773675,0.002653182,0.0009062825,0.0002957838,0.005395744,0.01338165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003503482,0.000331774,0.03036667,0.000457913,0.00003882538,0.003549293,0.8521704,0.0006722328,0.002304739,0.01437669,0.03667036,0.05871077],"study_design_scores_gemma":[0.00003603487,0.0001986573,0.07134332,0.0002787167,0.00002789375,0.0004632367,0.7247451,0.0005139086,0.0009559798,0.0006015987,0.2006698,0.0001656569],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161232,0.004073378,0.0007054828,0.01951353,0.0003235217,0.0001041556,0.0005518515,0.0001126107,0.05849227],"genre_scores_gemma":[0.968611,0.002315137,0.0006365802,0.001328457,0.00003499532,0.00002759216,0.0001452087,0.00005366959,0.02684729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9919117,"threshold_uncertainty_score":0.9812461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006615534769067015,"score_gpt":0.1940131990588923,"score_spread":0.1873976642898253,"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."}}