{"id":"W2891394052","doi":"10.1109/iccc.2018.00025","title":"A Novel Classifier for a Kansei Recommender System","year":2018,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ontario Institute of Technology","keywords":"Kansei; Recommender system; Computer science; Classifier (UML); Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001086809,0.00004765708,0.00006615226,0.00003881219,0.00004360294,0.00001001348,0.00005508895,0.0000649266,0.007405305],"category_scores_gemma":[0.00000573671,0.00003766605,0.00004104942,0.00004686213,0.0000205762,0.00001577022,0.000006596498,0.00002963123,0.001772095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255707,"about_ca_system_score_gemma":0.000008593353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002901038,"about_ca_topic_score_gemma":0.00005230224,"domain_scores_codex":[0.9996036,0.00001412192,0.00009023763,0.0001361041,0.00003450007,0.0001214703],"domain_scores_gemma":[0.9997042,0.00003941579,0.00001760821,0.000159573,0.00004439291,0.000034784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006754367,0.0000405053,0.00002397449,0.000004591541,0.00001468666,3.165358e-7,0.00040858,1.202669e-8,0.0009485299,0.0639685,0.9285258,0.005996962],"study_design_scores_gemma":[0.0008074477,0.0001636947,0.00129542,0.000004064858,0.000007523682,0.00002582657,0.001406818,0.0002528917,0.00003669142,0.0001410306,0.9957668,0.00009183345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009644584,0.000004268255,0.353164,0.0006471772,0.001063697,0.0001914759,0.000006316859,0.0002030932,0.6437555],"genre_scores_gemma":[0.7894719,1.879117e-7,0.009148399,0.004830675,0.0007048302,0.0002609882,0.000006904281,0.000021184,0.195555],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7885074,"threshold_uncertainty_score":0.9990051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581018485034294,"score_gpt":0.3869285725290587,"score_spread":0.2288267240256292,"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."}}