{"id":"W2950212663","doi":"10.1007/978-3-030-11379-7_2","title":"Linking Emotion Attributes to Engineering Parameters and Individual Differences","year":2019,"lang":"en","type":"book-chapter","venue":"Springer series on touch and haptic systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perception; Rhythm; Psychology; Task (project management); Cognitive psychology; Tactile perception; Sensory system; Variation (astronomy); Human–computer interaction; Computer science; Engineering; Acoustics","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":[0.0002753059,0.0003847723,0.0002308795,0.0003406253,0.0001084971,0.001261157,0.0002340677,0.0003520576,0.01355265],"category_scores_gemma":[0.002208458,0.0001146093,0.00018041,0.0004584704,0.0003110702,0.0007307986,0.000412741,0.0006106183,0.001602217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366427,"about_ca_system_score_gemma":0.00007357541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511454,"about_ca_topic_score_gemma":0.0001413995,"domain_scores_codex":[0.9998939,0.0000208825,0.000006717295,0.00003046039,0.00004195892,0.000006082771],"domain_scores_gemma":[0.9992623,0.0005526911,0.00006961751,0.00004861179,0.00004666732,0.00002013496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002808692,0.000181944,0.01421932,0.0005632032,0.0001230302,0.0003788336,0.001441708,0.002773872,0.03982342,0.03099221,0.0101285,0.8990931],"study_design_scores_gemma":[0.0000341243,0.0006276339,0.5490558,0.0007017899,0.0003245937,0.003068916,0.002630304,0.01598224,0.02514737,0.292249,0.1100084,0.0001699445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4955676,0.04478492,0.166737,0.003263496,0.001684932,0.0001201174,0.001327449,0.000833114,0.2856813],"genre_scores_gemma":[0.8778635,0.01725793,0.01754363,0.000491793,0.0005486992,0.0001062247,0.0004936571,0.0002816899,0.08541291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01355265,"threshold_uncertainty_score":0.04533815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621179456494892,"score_gpt":0.2315812969545858,"score_spread":0.1753695023896368,"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."}}