{"id":"W2106859889","doi":"10.1109/icsmc.2007.4413722","title":"Pre-shaped fuzzy c-means algorithm (PFCM) for transparent membership function generation","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; National Aeronautics and Space Administration","keywords":"Fuzzy logic; Membership function; Transparency (behavior); Algorithm; Cluster analysis; Computer science; Fuzzy set; Process (computing); Function (biology); Data mining; Artificial intelligence","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":[0.002288533,0.001207643,0.001105502,0.00155064,0.001322641,0.0009850885,0.002309771,0.001873117,0.001753391],"category_scores_gemma":[0.007609704,0.0005988734,0.001269121,0.001544314,0.001073875,0.001449926,0.001148737,0.002156859,0.0006705445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125257,"about_ca_system_score_gemma":0.002178458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005105468,"about_ca_topic_score_gemma":0.004245395,"domain_scores_codex":[0.9984289,0.0003616516,0.0001042072,0.0003485651,0.0006702836,0.00008632723],"domain_scores_gemma":[0.9971916,0.001212128,0.0001928828,0.0003581163,0.0009694804,0.000075752],"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":[0.0002725535,0.0001205974,0.0008729221,0.0002364202,0.000105914,0.000166184,0.0003737161,0.2837772,0.01959904,0.02426905,0.005527189,0.6646792],"study_design_scores_gemma":[0.0000251751,0.00006228733,0.0002362073,0.00001763273,0.00001420995,0.0001361959,0.00001995944,0.979768,0.009778757,0.006574021,0.003328692,0.00003891813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001925715,0.00005449694,0.9972882,0.00003894349,0.00002234271,0.00003629794,0.00001017619,0.0002983617,0.0003253411],"genre_scores_gemma":[0.04295002,0.00007013438,0.9559914,0.00006840728,0.00002084327,0.000161014,0.00005713212,0.00008021454,0.0006008814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005105468,"threshold_uncertainty_score":0.01210308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.066554402513894,"score_gpt":0.2997982292466215,"score_spread":0.2332438267327275,"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."}}