{"id":"W7143870780","doi":"10.24516/00000453","title":"岐阜アパレル産業を取り巻く意識の変化","year":2002,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Perception; Fashion industry; Clothing industry; Front (military); Center (category theory); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005078152,0.00008964061,0.00006476675,0.0006307684,0.0006140732,0.0006315861,0.00009545942,0.0001739966,0.009856503],"category_scores_gemma":[0.001138001,0.00006788454,0.0001113163,0.0004830873,0.0006350006,0.0005154091,0.0002517956,0.0002470851,0.001602482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723927,"about_ca_system_score_gemma":0.0004696467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008279539,"about_ca_topic_score_gemma":0.01053893,"domain_scores_codex":[0.9996928,0.0000658684,0.00001913369,0.00004983553,0.0001203132,0.00005192513],"domain_scores_gemma":[0.9993078,0.0001459792,0.0001574845,0.00003946441,0.000235466,0.0001137737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000854075,0.0001180241,0.8488798,0.0001095673,0.00001636546,0.0003396952,0.01906654,0.0001371117,0.006663512,0.003355912,0.003846799,0.1173813],"study_design_scores_gemma":[0.000003529596,0.0001751092,0.9580766,0.00002849575,0.000009937818,0.0003674763,0.01426531,0.0003265237,0.001353208,0.000470435,0.0249084,0.00001509431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970291,0.000117806,0.001152445,0.0003729982,0.0000249884,0.00005230224,0.0002756825,0.00002048732,0.02769227],"genre_scores_gemma":[0.9850789,0.0002177635,0.001234865,0.00009851125,0.00002591816,0.00004312595,0.0002238214,0.000004876798,0.01307217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009856503,"threshold_uncertainty_score":0.03297323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06323371530092693,"score_gpt":0.3091486173504421,"score_spread":0.2459149020495152,"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."}}