{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183451,0.0000784787,0.0001350388,0.0000622907,0.0001140509,0.00002037912,0.000330061,0.00005310971,0.00004812227],"category_scores_gemma":[0.00004918477,0.0000603694,0.00007158962,0.0003496326,0.0001188213,0.0002726244,0.0001074065,0.00006713868,0.00001565136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000185294,"about_ca_system_score_gemma":0.000041905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444218,"about_ca_topic_score_gemma":0.000007404074,"domain_scores_codex":[0.9991306,0.00004401412,0.0002140092,0.0002325834,0.0002273132,0.0001514589],"domain_scores_gemma":[0.9993343,0.00005349643,0.00005383425,0.0004424319,0.00005923774,0.00005673631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006599978,0.002425064,0.1471898,0.0002618161,0.0001158422,0.00006549634,0.0124734,0.06362077,0.01501224,0.5541769,0.00417364,0.200419],"study_design_scores_gemma":[0.0002097246,0.00007017677,0.06891026,0.000008131685,0.000004844115,0.00008844711,0.00001005415,0.9098116,0.0006254629,0.01971146,0.0003688568,0.0001809712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4228777,0.00001447509,0.5738202,0.0001882898,0.00006680503,0.00005048381,4.562212e-7,0.00005599388,0.00292566],"genre_scores_gemma":[0.6881316,0.000005332323,0.3117493,0.00007570595,0.00001182811,8.83005e-7,8.542776e-7,0.000001932236,0.00002258541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8461909,"threshold_uncertainty_score":0.2461793,"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."}}