{"id":"W3001180630","doi":"10.24908/pceea.vi0.13862","title":"GLOBAL CLASSROOM: A CASE STUDY IN ONLINE LEARNING ON SUSTAINABLE CITIES","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"University of Toronto","keywords":"Urbanization; Diversity (politics); Perspective (graphical); Knowledge management; Computer science; Engineering ethics; Sociology; Engineering; Economic growth","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":[0.003381057,0.000683459,0.0004685076,0.001339839,0.01205972,0.004268911,0.002515251,0.004485126,0.007486095],"category_scores_gemma":[0.005633146,0.000244581,0.0005099504,0.00141155,0.004618856,0.005159978,0.005858277,0.003207811,0.001321771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002851136,"about_ca_system_score_gemma":0.002312753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006279628,"about_ca_topic_score_gemma":0.02148226,"domain_scores_codex":[0.9966395,0.002176619,0.00007988846,0.0002292523,0.0003165957,0.0005581161],"domain_scores_gemma":[0.9947227,0.002536253,0.0002671109,0.0002429773,0.0003359844,0.001894972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001297369,0.007377769,0.02009316,0.0004879792,0.00003026228,0.06012024,0.7887785,0.001558267,0.003141968,0.03543226,0.02042637,0.06242334],"study_design_scores_gemma":[0.00004782932,0.0006413205,0.006262696,0.0002511451,0.00001889167,0.007585596,0.8265318,0.002116983,0.002089997,0.005339982,0.1490633,0.00005055879],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368274,0.0002198742,0.004313638,0.006283022,0.0001392313,0.000327786,0.0001287507,0.00008605372,0.05167428],"genre_scores_gemma":[0.9657935,0.000506204,0.005183036,0.001435485,0.00007609854,0.00020397,0.0001042333,0.00009702671,0.02660047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01205972,"threshold_uncertainty_score":0.02504349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318717477163814,"score_gpt":0.2743920265962776,"score_spread":0.2612048518246394,"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."}}