{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479777,0.0009087152,0.001572324,0.00152118,0.001100347,0.001843701,0.001855511,0.002306414,0.002978044],"category_scores_gemma":[0.005692019,0.0004166378,0.001077333,0.001054474,0.0004911745,0.002905227,0.0008700192,0.001815348,0.003381264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050076,"about_ca_system_score_gemma":0.001046065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006587893,"about_ca_topic_score_gemma":0.005359009,"domain_scores_codex":[0.9973779,0.000383297,0.0002998427,0.0007936632,0.0009245271,0.0002207564],"domain_scores_gemma":[0.9969099,0.0007128191,0.0001397175,0.0003240113,0.00180777,0.0001057372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004054314,0.0003945022,0.008706144,0.0002788596,0.0001862944,0.0002443679,0.0002929234,0.04034818,0.03403946,0.01220987,0.01408693,0.8888071],"study_design_scores_gemma":[0.00003037813,0.0001613534,0.001934335,0.00002831963,0.00004814686,0.0003113932,0.00007611045,0.9773467,0.008549635,0.004617105,0.006851215,0.00004530763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02054567,0.00041815,0.9734296,0.0003929484,0.0002435063,0.0002103795,0.0002900099,0.002439898,0.002029862],"genre_scores_gemma":[0.2957886,0.0004171605,0.6951761,0.0003863605,0.0002564584,0.0004856928,0.001584566,0.0001429651,0.005762073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006587893,"threshold_uncertainty_score":0.01309907,"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."}}