{"id":"W2885826230","doi":"10.24908/pceea.v0i0.10383","title":"TOWARDS THE HCI LIVING CURRICULUM","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Curriculum; Assisted living; Computer science; Engineering ethics; Human–computer interaction; Engineering; Sociology; Pedagogy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009714616,0.0004559344,0.0003035763,0.00158395,0.002565879,0.006558086,0.002213918,0.002367653,0.01465481],"category_scores_gemma":[0.01045979,0.0004091559,0.0004711582,0.00107039,0.003467791,0.005437532,0.008311965,0.004339818,0.003006236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007184843,"about_ca_system_score_gemma":0.01950333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008183,"about_ca_topic_score_gemma":0.004002897,"domain_scores_codex":[0.9956024,0.001688045,0.0002754267,0.0005341209,0.001212127,0.0006878479],"domain_scores_gemma":[0.9924595,0.001125888,0.0004254213,0.0005405237,0.001789038,0.003659586],"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":[0.0000851259,0.003062055,0.01299217,0.001127826,0.00001266966,0.0003919475,0.02622011,0.003710235,0.01091094,0.4182321,0.06194422,0.4613106],"study_design_scores_gemma":[0.00007418515,0.0006834394,0.01732048,0.001634927,0.00001327919,0.0003702832,0.02584017,0.007002144,0.008822073,0.1091997,0.8289785,0.00006083478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3354617,0.002323039,0.312805,0.06849318,0.002141276,0.004130173,0.0007768608,0.001824753,0.272044],"genre_scores_gemma":[0.5189241,0.001823588,0.3669366,0.007494509,0.0003146159,0.003550342,0.001735307,0.0003532603,0.09886768],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01465481,"threshold_uncertainty_score":0.05212998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005187192375949508,"score_gpt":0.2124738756404881,"score_spread":0.2072866832645386,"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."}}