{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036319,0.0001001206,0.0001226347,0.0003288611,0.0002820677,0.0001245065,0.0002007407,0.0001202146,0.00005733833],"category_scores_gemma":[0.002079428,0.0001072073,0.0000392825,0.001345537,0.00001791081,0.0003308555,0.0000136496,0.0002500391,0.000009110936],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006375118,"about_ca_system_score_gemma":0.00179685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1783326,"about_ca_topic_score_gemma":0.188327,"domain_scores_codex":[0.998807,0.00002792166,0.0002417257,0.0001711244,0.0004046348,0.0003476648],"domain_scores_gemma":[0.9987319,0.00008164231,0.0002416037,0.00006053257,0.0007795185,0.0001047705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001648232,0.0001276865,0.9082506,0.00004194351,0.00001448979,5.241977e-7,0.01516944,0.000590737,0.000007035876,0.07358239,0.002048532,0.000164976],"study_design_scores_gemma":[0.0002517674,0.00005714047,0.5202954,0.00008480636,0.00001522635,0.000004171392,0.4540594,0.0002332551,0.00001012263,0.0006395306,0.02415091,0.0001983257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733924,0.00001486668,2.948704e-7,0.006996999,0.0007341182,0.0005592661,0.000004394357,0.0000337504,0.01826388],"genre_scores_gemma":[0.9836708,0.000002032211,0.00005489652,0.0002526599,0.0001987502,0.00003699602,0.00000606722,0.00001178932,0.01576602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.43889,"threshold_uncertainty_score":0.9974392,"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."}}