{"id":"W4310137693","doi":"10.18280/isi.270510","title":"Preferences of Acceptance for Gayo Arabica Coffee Based on Sensory Test Using Adaptive Neuro-Fuzzy Inference System (ANFIS)","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktorat Riset dan Pengabdian Masyarakat; Direktorat Jenderal Pendidikan Tinggi","keywords":"Adaptive neuro fuzzy inference system; Computerized adaptive testing; Sensory system; Inference system; Fuzzy inference system; Computer science; Artificial intelligence; Statistics; Coffea arabica; Mathematics; Fuzzy logic; Machine learning; Psychology; Fuzzy control system; Cognitive psychology; Biology; Botany; Psychometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004626646,0.0002956615,0.0001878306,0.0003340814,0.0001571488,0.0003891224,0.0001768967,0.0002629088,0.001151256],"category_scores_gemma":[0.001531068,0.00008743627,0.0004227216,0.0001780632,0.0001428876,0.0002534387,0.0001925843,0.0001967084,0.0001243189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002542754,"about_ca_system_score_gemma":0.000159916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169302,"about_ca_topic_score_gemma":0.006589863,"domain_scores_codex":[0.9997479,0.00008517202,0.00001812163,0.00004318164,0.00008153977,0.00002406072],"domain_scores_gemma":[0.9996313,0.0001554232,0.00004987468,0.00001604976,0.0001255833,0.00002170447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002708886,0.0008718002,0.3917077,0.000784204,0.0005387611,0.00115021,0.003120169,0.1672574,0.1084766,0.001320628,0.002642167,0.3194214],"study_design_scores_gemma":[0.0000328431,0.001367599,0.2292818,0.00008845027,0.0001568208,0.0003517854,0.001873919,0.7477776,0.01682316,0.0008570314,0.001275046,0.0001140257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691327,0.0001089789,0.02818141,0.0001022042,0.00001798359,0.00005077482,0.0001314962,0.0000666467,0.0022078],"genre_scores_gemma":[0.9965289,0.00004104601,0.002853685,0.00001103959,0.000002222342,0.00001629369,0.00007648407,0.000001554979,0.0004686384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006169302,"threshold_uncertainty_score":0.01226676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263423967294539,"score_gpt":0.2399329465698953,"score_spread":0.1972987068969499,"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."}}