{"id":"W2918775959","doi":"10.1109/toh.2019.2894153","title":"Thermal-Tactile Integration in Object Temperature Perception","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Multisensory perception and integration","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perception; Illusion; Object (grammar); Thermal; Tactile perception; Flexibility (engineering); Computer vision; Computer science; Artificial intelligence; Thermal sensation; Psychophysics; Human–computer interaction; Cognitive psychology; Psychology; Thermal comfort; Mathematics; Physics; Neuroscience","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":["insufficient_payload"],"category_scores_codex":[0.0001423667,0.000208863,0.0001895578,0.0003153469,0.00008403495,0.00005132888,0.0001052957,0.0003076888,0.01861139],"category_scores_gemma":[0.000003912661,0.0001895342,0.0001242871,0.000261118,0.00003627925,0.0002358365,4.167603e-7,0.0006406517,0.006518459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179145,"about_ca_system_score_gemma":0.00002255778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623045,"about_ca_topic_score_gemma":0.000267709,"domain_scores_codex":[0.9987239,0.0001630132,0.0003222208,0.0003643528,0.0001918374,0.0002346716],"domain_scores_gemma":[0.9993521,0.00006380415,0.00006294351,0.0003836396,0.00007742234,0.00006011924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005591616,0.001047023,0.0004908904,0.00002105936,0.0000526583,0.000008444044,0.01371808,0.01236764,0.8577391,0.000743621,0.002353559,0.1108988],"study_design_scores_gemma":[0.02001621,0.00604916,0.5231981,0.0009904528,0.0004069667,0.0002096923,0.08416601,0.2181898,0.1191483,0.0003053478,0.02219698,0.005122944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947571,0.000007066679,0.02126086,0.0002451945,0.002461397,0.0005138,0.00002651445,0.0001386046,0.02777552],"genre_scores_gemma":[0.9745853,0.00002616005,0.000358857,0.0005916959,0.00008039933,0.00006614989,0.00002079547,0.00003444322,0.02423619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7385908,"threshold_uncertainty_score":0.9942551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708079389774773,"score_gpt":0.3090807454435683,"score_spread":0.2819999515458206,"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."}}