{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006284252,0.00009780259,0.00009207407,0.0001433906,0.0002989825,0.0002497075,0.0008564821,0.00007679338,0.00001010729],"category_scores_gemma":[0.00196118,0.00007354326,0.00006924056,0.0007657207,0.00002158531,0.0002447095,0.00007400975,0.0002138623,0.00001875181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007758862,"about_ca_system_score_gemma":0.0007654553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005468251,"about_ca_topic_score_gemma":0.002841319,"domain_scores_codex":[0.9990859,0.00000799378,0.0001776291,0.0001585953,0.0003088551,0.0002610012],"domain_scores_gemma":[0.9987015,0.00004624625,0.0002466106,0.0001505604,0.0007329346,0.0001222224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[4.924368e-7,0.0001668139,0.2723577,0.0001714696,0.0001895407,1.119984e-7,0.01176066,0.0008415319,0.001081363,0.4800586,0.2169843,0.01638748],"study_design_scores_gemma":[0.0001415979,0.00006477245,0.4587933,0.0004659496,0.0000758216,0.00001172445,0.0009456981,0.2639604,0.00144745,0.003535756,0.2699533,0.0006041639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6026163,0.0003105734,0.003099723,0.3328311,0.01285091,0.0008365984,0.00001280701,0.0006847339,0.04675731],"genre_scores_gemma":[0.9918034,0.000003072697,0.00319989,0.0005078779,0.0005279892,0.000009647803,5.847538e-7,0.00001187933,0.003935659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4765228,"threshold_uncertainty_score":0.8266395,"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."}}