{"id":"W2783220755","doi":"10.1109/iris.2017.8250118","title":"Personalized clothing recommendation by a social robot","year":2017,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptability; Novelty; Personalization; Clothing; Computer science; Human–computer interaction; Robot; Task (project management); Recommender system; Human–robot interaction; Feature (linguistics); Artificial intelligence; World Wide Web; Engineering","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":[0.0002063807,0.0005140554,0.0003606655,0.0002839778,0.0004060889,0.0003292195,0.0005095536,0.0005220029,0.003853282],"category_scores_gemma":[0.0007115456,0.0002178859,0.0003179862,0.0001727546,0.0002504531,0.000439783,0.0004871245,0.0003224709,0.001196421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572946,"about_ca_system_score_gemma":0.0002681835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983157,"about_ca_topic_score_gemma":0.004294257,"domain_scores_codex":[0.9998562,0.00003666924,0.000006161652,0.00004809927,0.00003588654,0.00001690759],"domain_scores_gemma":[0.9997931,0.00006202949,0.00003020508,0.00004405166,0.00004138238,0.00002935063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008405092,0.0009615449,0.01749261,0.0004130264,0.0002071689,0.00120557,0.001395799,0.05788573,0.2029234,0.004180681,0.01590615,0.6965877],"study_design_scores_gemma":[0.0001715799,0.001549041,0.01943323,0.00005220501,0.000189686,0.001162025,0.001023006,0.8906479,0.04319179,0.003904231,0.03854037,0.0001350113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4559898,0.0006187575,0.5075339,0.0007640676,0.0002166088,0.0004484529,0.0002803051,0.00801815,0.02613002],"genre_scores_gemma":[0.8653808,0.0001389269,0.1234361,0.0001173485,0.00003482304,0.0001235677,0.0001256998,0.00005764876,0.01058504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003853282,"threshold_uncertainty_score":0.01289052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054487956162129,"score_gpt":0.4615481331134817,"score_spread":0.3560993374972688,"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."}}