{"id":"W2103940966","doi":"10.1109/nafips.2008.4531217","title":"Graphical estimation of permeability using RST&NFIS","year":2008,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Rough set; Artificial intelligence; Data set; Pattern recognition (psychology); Data mining; Fuzzy logic","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":[0.0005839537,0.0004971012,0.0005462655,0.003404649,0.0002139057,0.001040594,0.000388063,0.0003454728,0.004436005],"category_scores_gemma":[0.0028811,0.0002315524,0.0004625983,0.001250854,0.0003775067,0.0009055263,0.0004324546,0.0003159787,0.0005713612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381148,"about_ca_system_score_gemma":0.0001670077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261084,"about_ca_topic_score_gemma":0.002181888,"domain_scores_codex":[0.9995322,0.0001201518,0.00002866183,0.00007686302,0.0002019665,0.00004008193],"domain_scores_gemma":[0.9991911,0.0003939463,0.0001085454,0.00008808557,0.0001960583,0.00002224586],"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":[0.0005946115,0.00008713154,0.01715514,0.0005827873,0.0001766281,0.0004721714,0.0006304965,0.1531484,0.1008646,0.01733548,0.003707083,0.7052455],"study_design_scores_gemma":[0.00001882615,0.0001806298,0.02857665,0.00005881227,0.00007151241,0.0005241746,0.0003718208,0.8992588,0.05669548,0.007814839,0.006301266,0.0001271903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409109,0.0002868603,0.8441686,0.000211616,0.00005906005,0.00006303715,0.0007648697,0.00390788,0.009627146],"genre_scores_gemma":[0.7724835,0.0002157744,0.2248394,0.00002461456,0.00002604938,0.0000432325,0.0005142015,0.0001090054,0.001744192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004436005,"threshold_uncertainty_score":0.01483995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06811709398412782,"score_gpt":0.2829270278021434,"score_spread":0.2148099338180156,"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."}}