{"id":"W7099140990","doi":"","title":"FUZZY EXPERT SYSTEMS AND FUZZY REASONING TEAM LinG- Live, Informative, Non-cost and Genuine! TEAM LinG- Live, Informative, Non-cost and Genuine! FUZZY EXPERT SYSTEMS AND FUZZY REASONING","year":2008,"lang":"en","type":"article","venue":"","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expert system; Fuzzy logic; Legal expert system; Fuzzy control system; Authorization; Payment; Permission; Model-based reasoning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004546733,0.0004596857,0.0008868593,0.001286827,0.001053252,0.006821845,0.0009025082,0.001891926,0.04175057],"category_scores_gemma":[0.009285438,0.0003404422,0.0006349376,0.001588002,0.002116483,0.003294763,0.001700087,0.001885514,0.009059163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639639,"about_ca_system_score_gemma":0.002447379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007084444,"about_ca_topic_score_gemma":0.007743723,"domain_scores_codex":[0.9978855,0.0007717778,0.0001732538,0.0001797741,0.0008530308,0.0001366426],"domain_scores_gemma":[0.9952397,0.001833686,0.000205768,0.0005831268,0.001816647,0.0003210893],"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":[0.0001640853,0.00008781714,0.001955913,0.0005641367,0.0001631829,0.0003274752,0.0009393651,0.0120609,0.003222667,0.2136874,0.1400587,0.6267684],"study_design_scores_gemma":[0.00006782641,0.0001045357,0.002891176,0.0005089701,0.00008759294,0.0004978941,0.001724801,0.08772593,0.002941956,0.4922816,0.411054,0.000113795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01360234,0.01289221,0.711053,0.01934731,0.003497858,0.0002693007,0.0006585235,0.00129567,0.2373838],"genre_scores_gemma":[0.2957071,0.01554254,0.4260994,0.002052279,0.002424177,0.0002498191,0.001242527,0.0002749373,0.256407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9582494,"threshold_uncertainty_score":0.1396696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450395772164252,"score_gpt":0.2368234697769717,"score_spread":0.2123195120553292,"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."}}