{"id":"W2340321158","doi":"10.5539/mas.v10n6p171","title":"Visual Assessment of Methods of Street Furniture Installation Using Kansei Engineering (Case Study: Benches in the Historical-Cultural Area of Tabriz)","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Color perception and design","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beauty; Metropolitan area; Adornment; Architectural engineering; Constructive; Quality (philosophy); Diversity (politics); Variety (cybernetics); Environmental planning; Downtown; Business; Aesthetics; Computer science; Sociology; Geography; Archaeology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008998536,0.0003628631,0.0001307115,0.001481209,0.0007616132,0.0009406369,0.0004846234,0.0006040236,0.004350184],"category_scores_gemma":[0.001800067,0.0001879678,0.0003538391,0.0007881075,0.0006817228,0.0004255035,0.0006516436,0.0003645501,0.0006627198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539464,"about_ca_system_score_gemma":0.0002830798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506194,"about_ca_topic_score_gemma":0.01360933,"domain_scores_codex":[0.9994463,0.0001577038,0.00002686901,0.00009167148,0.0002054686,0.00007185413],"domain_scores_gemma":[0.9992192,0.0002182416,0.00009277257,0.00009871445,0.000312026,0.0000590261],"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":[0.001169952,0.001914541,0.2178028,0.002007657,0.0001201935,0.006472576,0.1114249,0.00793824,0.1717843,0.004137204,0.004745979,0.4704818],"study_design_scores_gemma":[0.00003219615,0.002293784,0.8270245,0.0002733597,0.0001353183,0.006340926,0.08447547,0.0133489,0.04132349,0.0009688736,0.02359915,0.0001840208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807372,0.0001455701,0.006242928,0.00006718577,0.00001283824,0.0001020974,0.00008984124,0.00006524854,0.012537],"genre_scores_gemma":[0.9856923,0.000109186,0.01058231,0.00001428208,0.000002996389,0.00002022678,0.0000559156,0.00001527286,0.00350753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004506194,"threshold_uncertainty_score":0.01455283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1319901756492539,"score_gpt":0.4418744004225533,"score_spread":0.3098842247732994,"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."}}