{"id":"W4403723340","doi":"10.1109/iacis61494.2024.10721631","title":"Support Vector Machine with Tunicate Swarm Optimization Algorithm for Emotion Recognition in Human-Robot Interaction","year":2024,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"CGI (Canada)","funders":"","keywords":"Tunicate; Computer science; Artificial intelligence; Support vector machine; Robot; Human–robot interaction; Swarm behaviour; Algorithm; Computer vision","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":[0.000601729,0.0005509471,0.0006126802,0.000426975,0.0002475539,0.0004829231,0.0005383011,0.0005185127,0.00089204],"category_scores_gemma":[0.001244684,0.000229927,0.0005367847,0.0004423049,0.0002461305,0.0004464373,0.0003767905,0.0006555176,0.0002398871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063269,"about_ca_system_score_gemma":0.000470028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437117,"about_ca_topic_score_gemma":0.002292813,"domain_scores_codex":[0.9996978,0.00008413017,0.00002991928,0.00006703298,0.00008604612,0.00003516381],"domain_scores_gemma":[0.9997548,0.0001038718,0.00002846042,0.00001445975,0.00008874262,0.0000095349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001651627,0.00009704574,0.002277401,0.0001188877,0.0001094047,0.00009872772,0.0001178739,0.5844217,0.008857267,0.002893436,0.002356458,0.3984866],"study_design_scores_gemma":[0.000003265799,0.00002356514,0.0001902384,0.000002636168,0.000003350206,0.00000680065,0.00000803799,0.9987205,0.0005285254,0.0002849899,0.0002256428,0.00000243466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03203509,0.0006410954,0.964985,0.0001642177,0.00008131537,0.00005401755,0.0000303584,0.0005465239,0.001462353],"genre_scores_gemma":[0.7507288,0.0004931061,0.2444856,0.0001160075,0.00005611989,0.0002386876,0.0002025035,0.00004901184,0.003630124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004437117,"threshold_uncertainty_score":0.00882256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449356307421798,"score_gpt":0.2938799892784036,"score_spread":0.2593864262041856,"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."}}