{"id":"W2158616110","doi":"10.1109/fuzzy.2000.838638","title":"Information granulation: percepts and their stability","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Computer science; Judgement; Relevance (law); Stability (learning theory); Inference; Artificial intelligence; Human–computer interaction; Machine learning; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008022359,0.0009542101,0.001792855,0.006009782,0.001533633,0.008220692,0.002060179,0.002933223,0.003964823],"category_scores_gemma":[0.057498,0.0009199007,0.002429269,0.004102134,0.009259628,0.01518471,0.00473523,0.003380328,0.0006722189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321919,"about_ca_system_score_gemma":0.001008004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153609,"about_ca_topic_score_gemma":0.0006154962,"domain_scores_codex":[0.9936493,0.001928048,0.0007186368,0.001417404,0.00188173,0.0004048133],"domain_scores_gemma":[0.9512171,0.03731642,0.003605002,0.00409455,0.003056188,0.0007108347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000127682,0.00003302316,0.001491465,0.0003690312,0.0001316362,0.0002635682,0.0009724797,0.01647445,0.001960755,0.9185789,0.001601377,0.05799567],"study_design_scores_gemma":[0.00001719554,0.0000424645,0.0007337324,0.00006076741,0.0000276335,0.0001486837,0.00007895027,0.03917876,0.0008138456,0.9549997,0.003855116,0.00004312496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02461762,0.007350635,0.9531795,0.002644317,0.0002987247,0.0001364456,0.000383667,0.0004830828,0.01090597],"genre_scores_gemma":[0.6643189,0.004836215,0.3218381,0.001384057,0.001355192,0.0006145782,0.0005666664,0.0003040601,0.004782126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008220692,"threshold_uncertainty_score":0.04242676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383092118231134,"score_gpt":0.2049415256743644,"score_spread":0.181110604492053,"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."}}