{"id":"W4403991999","doi":"10.1007/978-3-031-70058-3_15","title":"The Visual and Haptic Contributions to Hand and Foot Representation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Haptic technology; Foot (prosody); Representation (politics); Computer vision; Artificial intelligence; Computer graphics (images); Human–computer interaction; Art","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":[0.0003085801,0.0004076747,0.0002714446,0.0007248645,0.000304469,0.002655548,0.0006476726,0.0009233843,0.01239298],"category_scores_gemma":[0.002115753,0.0003279055,0.0002673393,0.0009493483,0.001879116,0.002674512,0.0008884485,0.0009759422,0.001152012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974212,"about_ca_system_score_gemma":0.0002685056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056065,"about_ca_topic_score_gemma":0.00153338,"domain_scores_codex":[0.9998691,0.00002341847,0.000006727,0.00003619773,0.0000491105,0.0000155211],"domain_scores_gemma":[0.9993813,0.0004412328,0.00002964424,0.00005660203,0.00006191407,0.00002925663],"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":[0.0002259282,0.0000376088,0.0004040961,0.0007212253,0.0000357196,0.0004006662,0.001029265,0.00362864,0.03895304,0.451482,0.01177087,0.491311],"study_design_scores_gemma":[0.00004108451,0.0001174694,0.007727264,0.0006200148,0.00007060498,0.001498501,0.0007383737,0.01821985,0.01694212,0.7717429,0.18219,0.00009176041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03851212,0.1170254,0.2987374,0.004733099,0.004090659,0.0000372483,0.0004270125,0.0006559003,0.5357811],"genre_scores_gemma":[0.6601833,0.06093403,0.06449743,0.0009844879,0.004354922,0.00007297783,0.0004046295,0.0003503207,0.208218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239298,"threshold_uncertainty_score":0.04145861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533519149332886,"score_gpt":0.3468862607652435,"score_spread":0.3215510692719146,"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."}}