{"id":"W3200063599","doi":"10.1007/s11948-021-00338-1","title":"Touching at a Distance: Digital Intimacies, Haptic Platforms, and the Ethics of Consent","year":2021,"lang":"en","type":"article","venue":"Science and Engineering Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Philosophy of science; Haptic technology; Informed consent; Psychology; Engineering ethics; Sociology; Law; Political science; Engineering; Epistemology; Philosophy; Simulation; Medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.006573248,0.00008081736,0.0001440939,0.00003894837,0.001573941,0.0005054986,0.0001899862,0.0002005154,0.00000381751],"category_scores_gemma":[0.02643112,0.00006088517,0.00002892,0.0004272137,0.004616374,0.0005217683,0.0002008921,0.001015532,6.361686e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007822677,"about_ca_system_score_gemma":0.001536939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003635405,"about_ca_topic_score_gemma":0.0009018821,"domain_scores_codex":[0.9984314,0.00003918928,0.0001541461,0.0001770745,0.0009117596,0.000286379],"domain_scores_gemma":[0.9960671,0.003026524,0.00005264653,0.0001287012,0.0005813271,0.0001436922],"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":[0.000005654398,0.000005822529,0.0001882448,0.0000871943,0.000006364608,0.000003358444,0.1098938,0.00006526502,0.0005415935,0.8887102,0.00002653878,0.0004659383],"study_design_scores_gemma":[0.003511632,0.0001965114,0.005627941,0.002009556,0.000162527,0.00008313656,0.1734685,0.02142433,0.003550725,0.5576998,0.2303076,0.001957788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845032,0.003184397,0.004821312,0.1239736,0.001126047,0.000319058,0.00003752496,0.0001161394,0.02138999],"genre_scores_gemma":[0.9964885,0.00223397,0.0003029768,0.0006599762,0.00004881167,0.000001635968,8.69191e-7,0.000005192333,0.0002580677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310104,"threshold_uncertainty_score":0.9997259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06301642748980016,"score_gpt":0.3519940393426723,"score_spread":0.2889776118528722,"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."}}