{"id":"W4292545615","doi":"10.1142/6451","title":"Fuzzy Logic for Business, Finance, and Management","year":2007,"lang":"en","type":"book","venue":"Advances in fuzzy systems","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology; Simon Fraser University","funders":"","keywords":"Fuzzy logic; Finance; Business; Computer science; Economics; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.0009841332,0.0006300425,0.00111731,0.0004769224,0.0001524587,0.0002566765,0.001421503,0.0004459495,3.547077e-7],"category_scores_gemma":[0.00002593122,0.0005567347,0.0001344563,0.0004731675,0.0001478974,0.0007547406,0.000369323,0.0002754417,0.00004735122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224415,"about_ca_system_score_gemma":0.000134386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002174342,"about_ca_topic_score_gemma":0.00005955375,"domain_scores_codex":[0.9962417,0.00007150446,0.001017964,0.00129155,0.0005733317,0.0008039506],"domain_scores_gemma":[0.9976752,0.0003093612,0.0006309053,0.00105478,0.000228308,0.0001014906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002642893,0.00003024201,0.00004250397,0.002384746,0.00003934908,0.0001769849,0.00004324759,0.0005943631,4.150335e-7,0.950137,0.009566502,0.03695824],"study_design_scores_gemma":[0.0009922498,0.00009758761,0.00008882019,0.001246584,0.00002257465,0.00006361844,0.00003560357,0.0004470027,1.983839e-7,0.2282871,0.7681138,0.0006048728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001889047,0.1284135,0.04419813,0.00009658906,0.004319858,0.002466074,0.00003114397,0.0001696953,0.8203031],"genre_scores_gemma":[0.009926065,0.05167105,0.01889738,0.0007100288,0.00253645,0.002520802,0.000135184,0.0001613072,0.9134417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7585473,"threshold_uncertainty_score":0.9996884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263723185943341,"score_gpt":0.2438513490160243,"score_spread":0.2312141171565908,"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."}}