{"id":"W2021941000","doi":"10.5267/j.ijiec.2012.05.008","title":"Developing a univariate approach to phase-I monitoring of fuzzy quality profiles","year":2012,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Univariate; Fuzzy logic; Quality (philosophy); Phase (matter); Computer science; Statistics; Data mining; Environmental science; Mathematics; Multivariate statistics; Artificial intelligence; Chemistry; Physics","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":[0.001685566,0.0005377916,0.0005811013,0.0008399921,0.0003223031,0.0009714493,0.001087512,0.0004145261,0.001241259],"category_scores_gemma":[0.00489195,0.0004309063,0.0006374142,0.0007892197,0.0004467346,0.001397514,0.0007798329,0.001054662,0.000223615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008455362,"about_ca_system_score_gemma":0.0007812916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955385,"about_ca_topic_score_gemma":0.003128429,"domain_scores_codex":[0.9989799,0.0003275934,0.0000523537,0.0002450811,0.0003288825,0.00006605258],"domain_scores_gemma":[0.9982659,0.0007799312,0.0002941923,0.0001870699,0.000423056,0.00004986093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002090826,0.0001969297,0.006314406,0.0002097517,0.00009791141,0.0001946571,0.0004498628,0.6095029,0.03597095,0.062553,0.0009573537,0.2833432],"study_design_scores_gemma":[0.000004041086,0.00007843977,0.0006181294,0.000007084242,0.00001238927,0.00003938365,0.0000308621,0.9851632,0.006645118,0.006483988,0.0009001967,0.00001727542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004670359,0.00003005993,0.9944002,0.00003115563,0.000004982589,0.00002505271,0.000017784,0.0001331018,0.0006873079],"genre_scores_gemma":[0.4702423,0.000161853,0.5275588,0.0000537203,0.00003407972,0.0001140382,0.00007218703,0.00006891905,0.00169406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003955385,"threshold_uncertainty_score":0.008914173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683734026444329,"score_gpt":0.3812256400948499,"score_spread":0.212852237450417,"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."}}