{"id":"W1970769265","doi":"10.1145/1520340.1520632","title":"A tool to study affective touch","year":2009,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human–computer interaction; Haptic technology; Computer science; Affect (linguistics); Mechatronics; Affective computing; Interpersonal communication; Architecture; Robot; Psychology; Multimedia; Cognitive psychology; Simulation; Artificial intelligence; Communication; Visual arts","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001189545,0.00006222273,0.00006583106,0.00005772048,0.0000974767,0.00003591929,0.00009026183,0.00001250052,0.0003401965],"category_scores_gemma":[0.000265374,0.00005048197,0.00002896067,0.0001975225,0.000004235853,0.00008711242,0.00001366647,0.00007445204,0.0009997291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002011889,"about_ca_system_score_gemma":0.000005963077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002580596,"about_ca_topic_score_gemma":0.00003144651,"domain_scores_codex":[0.9994183,0.00004341948,0.00007350025,0.0002239801,0.0001124733,0.0001282956],"domain_scores_gemma":[0.9996419,0.0001053369,0.00001188829,0.0001769372,0.00001516483,0.0000488024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005925508,0.00108433,0.0004731441,2.666664e-7,0.000003345897,0.00006867431,0.002211333,0.00005036428,0.9424534,0.002177225,0.002302636,0.04911606],"study_design_scores_gemma":[0.0003114788,0.001472297,0.02681739,0.000001676985,0.000007029162,0.00003125044,0.001100981,0.0001676606,0.9632843,0.0003707358,0.006270614,0.000164582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362609,9.200078e-8,0.0003976529,0.0006354981,0.0001454378,0.0003599273,0.000001276235,0.0001102188,0.06208893],"genre_scores_gemma":[0.990989,1.462865e-7,0.00006642349,0.004731346,0.00004203664,0.00001236271,4.038334e-8,0.000003324727,0.00415527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05793366,"threshold_uncertainty_score":0.9997781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989580274294825,"score_gpt":0.333955591704653,"score_spread":0.2940597889617048,"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."}}