{"id":"W4241187228","doi":"10.3233/fi-2012-645","title":"Preface","year":2012,"lang":"la","type":"article","venue":"Fundamenta Informaticae","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence; Humanities; Philosophy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007561697,0.0003639526,0.0003508958,0.0001242414,0.0003459919,0.0007643127,0.001242897,0.0001643852,0.001276259],"category_scores_gemma":[0.00004750965,0.0003034818,0.0001568535,0.0004570228,0.00014183,0.00419455,0.0009221754,0.0003344819,0.01334219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162547,"about_ca_system_score_gemma":0.00009281943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003088129,"about_ca_topic_score_gemma":0.000001115144,"domain_scores_codex":[0.996985,0.00007624338,0.0007787862,0.0002131416,0.0006519507,0.001294892],"domain_scores_gemma":[0.9979166,0.0001098553,0.0002982906,0.001054782,0.00005224544,0.0005682657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000462374,0.001389083,0.02458219,0.0009002915,0.0003581067,0.00001159707,0.08736254,0.0001180308,0.00005579467,0.3207292,0.1932794,0.3711675],"study_design_scores_gemma":[0.000898206,0.000334316,0.02191583,0.0001393901,0.00006107573,0.00009189832,0.001428166,0.02983397,0.0002128501,0.0008122106,0.943404,0.0008680677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0626756,0.003583824,0.09791388,0.003511456,0.009624881,0.001517146,0.00008975936,0.000564139,0.8205193],"genre_scores_gemma":[0.9495412,0.0001673827,0.04295355,0.004615508,0.000579973,0.0000327086,0.00002263092,0.0000209166,0.002066186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8868656,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373613158797846,"score_gpt":0.2605661795091102,"score_spread":0.2268300479211318,"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."}}