{"id":"W2040485232","doi":"10.1016/j.asoc.2014.08.072","title":"Granular modeling and computing approaches for intelligent analysis of non-geometric data","year":2014,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Interpretability; Data mining; Data science; Context (archaeology); Granular computing; Key (lock); Complex system; Metric (unit); Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002225895,0.001045478,0.002522492,0.004837383,0.0007591622,0.005490212,0.001611041,0.001240538,0.001806025],"category_scores_gemma":[0.00569183,0.0006913781,0.001999243,0.004979719,0.00251848,0.005010589,0.002544467,0.002082023,0.0003201154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670353,"about_ca_system_score_gemma":0.0009683684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039022,"about_ca_topic_score_gemma":0.002394357,"domain_scores_codex":[0.9987388,0.0003383491,0.0001514526,0.0001655248,0.0005064854,0.00009934825],"domain_scores_gemma":[0.9978079,0.001213931,0.000237677,0.0004210955,0.000225241,0.00009407334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006358607,0.00005756182,0.001178459,0.0003902146,0.0002150777,0.000231569,0.0002529871,0.1942428,0.002565909,0.7343547,0.001681283,0.06476579],"study_design_scores_gemma":[0.000007789602,0.00001638282,0.0003694102,0.00004176105,0.00003636431,0.00005594656,0.00007136864,0.4334903,0.000484182,0.5630573,0.002347613,0.00002151069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006032512,0.001782274,0.9898482,0.000467816,0.0000688026,0.00003264652,0.00007916012,0.0001381757,0.001550418],"genre_scores_gemma":[0.361474,0.004797777,0.6301233,0.0002802283,0.0003826002,0.000199587,0.0003271907,0.0001008195,0.002314405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005490212,"threshold_uncertainty_score":0.01211923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08631897503600361,"score_gpt":0.275161176130104,"score_spread":0.1888422010941004,"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."}}