{"id":"W2610506029","doi":"10.1145/3027063.3051135","title":"Research Ethics in HCI","year":2017,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Meaning (existential); Engineering ethics; Diversity (politics); Field (mathematics); Sociology; Informed consent; Style (visual arts); Information ethics; Research ethics; Ethics of technology; Computer science; Psychology; Engineering; Meta-ethics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002106648,0.00003963779,0.00005165477,0.0003056462,0.0004683249,0.0002398938,0.001631867,0.0001432391,0.0000418627],"category_scores_gemma":[0.0008982586,0.00003560578,0.000009177009,0.0002007727,0.0002048856,0.0007197941,0.000670194,0.001364446,0.0004600188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006910467,"about_ca_system_score_gemma":0.00006780036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002729385,"about_ca_topic_score_gemma":0.0006553773,"domain_scores_codex":[0.9991518,0.00009602739,0.00009905257,0.0002099943,0.0002373787,0.0002057188],"domain_scores_gemma":[0.9985023,0.0001722106,0.00004214004,0.0009717034,0.0003003277,0.00001132408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001183142,0.0000175687,0.001648109,0.000001719466,0.000001343489,0.00001712682,0.0004278376,5.164828e-7,0.001347453,0.9884177,0.001757276,0.006362149],"study_design_scores_gemma":[0.0007250038,0.0002464287,0.2350196,0.00009785887,5.662183e-7,0.00003766867,0.0005877909,0.0215082,0.1277814,0.5563582,0.05727853,0.0003588729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2370422,0.000009321225,0.1630271,0.07328579,0.0009111911,0.0001882022,1.760221e-7,0.000253566,0.5252825],"genre_scores_gemma":[0.9864172,0.000002599119,0.009954985,0.000269488,0.00002381735,0.000009785878,1.108557e-7,0.000002388956,0.003319568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7493751,"threshold_uncertainty_score":0.5927916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3965503143855848,"score_gpt":0.5443462903093691,"score_spread":0.1477959759237843,"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."}}