{"id":"W4404008231","doi":"10.1007/978-3-031-70061-3_15","title":"Towards a Model for Haptics as a Co-regulation Adjunct in Cognitive Reappraisal","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adjunct; Computer science; Haptic technology; Cognition; Human–computer interaction; Cognitive science; Artificial intelligence; Psychology; Linguistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020327,0.0008413197,0.0005633681,0.0007736517,0.0009637328,0.004595024,0.002394012,0.002421444,0.01600566],"category_scores_gemma":[0.002625124,0.0006002491,0.00139608,0.0008210513,0.003844455,0.007905825,0.002251495,0.002766178,0.003769557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195428,"about_ca_system_score_gemma":0.001114583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328747,"about_ca_topic_score_gemma":0.001013881,"domain_scores_codex":[0.9992236,0.0002765037,0.00004760411,0.0001792964,0.0001927275,0.00008028434],"domain_scores_gemma":[0.9987337,0.0005788059,0.0001080142,0.0002728789,0.0001944613,0.0001122629],"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":[0.00002043831,0.00002692639,0.00008819321,0.00004371942,0.00001393795,0.00008578939,0.0004813177,0.002930641,0.001823852,0.9825791,0.0009367812,0.01096929],"study_design_scores_gemma":[0.00001275838,0.00003775804,0.0001629793,0.00002498079,0.00001572186,0.00010703,0.0001702555,0.03935633,0.0008154238,0.9522422,0.007033845,0.00002068824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01309942,0.0007673317,0.8283119,0.004667947,0.0004292906,0.00008559641,0.0001772855,0.0005840469,0.1518772],"genre_scores_gemma":[0.6557592,0.000919212,0.2759268,0.0008827902,0.0004474997,0.0004039574,0.0001887906,0.0003555191,0.06511614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600566,"threshold_uncertainty_score":0.05354428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1535507772975979,"score_gpt":0.4049843580535048,"score_spread":0.2514335807559069,"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."}}