{"id":"W4321021222","doi":"10.1109/taffc.2023.3244520","title":"When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Affective Computing","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Emotive; Context (archaeology); Set (abstract data type); Wearable computer; Human–computer interaction; Interpersonal communication; Computer science; Joke; Matching (statistics); Interpretation (philosophy); Psychology; Social psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659739,0.0002834547,0.0001658254,0.0003759149,0.0006696957,0.002885624,0.0003280096,0.0007494011,0.002768354],"category_scores_gemma":[0.01032678,0.0001773336,0.0001634622,0.0002528997,0.00160827,0.003214711,0.001298339,0.0004960509,0.0005366443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564574,"about_ca_system_score_gemma":0.000121751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002095699,"about_ca_topic_score_gemma":0.0003094135,"domain_scores_codex":[0.9987168,0.0007974466,0.00005401439,0.0001231351,0.0002144529,0.00009411432],"domain_scores_gemma":[0.9969625,0.001898601,0.0004559512,0.0003000067,0.0002389438,0.0001439797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001862239,0.0002129607,0.09178968,0.001898203,0.000188738,0.0021513,0.3968871,0.00146893,0.1788196,0.04198289,0.006284308,0.2764541],"study_design_scores_gemma":[0.0001074826,0.002529465,0.2519253,0.001440229,0.0005482857,0.006503223,0.4533925,0.01299726,0.0702062,0.04149389,0.1583329,0.0005233272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486576,0.0007121909,0.02354665,0.001268234,0.0001314734,0.00005977632,0.00009547456,0.0001649289,0.02536372],"genre_scores_gemma":[0.9951575,0.0001641639,0.003096437,0.0001167966,0.0000261043,0.0000168377,0.00002594414,0.00003297077,0.001363191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002885624,"threshold_uncertainty_score":0.009261131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605038605737767,"score_gpt":0.2889904778145967,"score_spread":0.2329400917572191,"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."}}