{"id":"W1491079601","doi":"10.3233/fi-2013-917","title":"From Numeric to Granular Description and Interpretation of Information Granules","year":2013,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Centre","keywords":"Interpretation (philosophy); Granular computing; Computer science; Theoretical computer science; Programming language; Data mining; Rough set","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":[0.003953097,0.0008242002,0.001136835,0.003288402,0.0008022116,0.008010482,0.001416773,0.001239291,0.002666144],"category_scores_gemma":[0.01164208,0.0005801186,0.001170374,0.002977909,0.005721242,0.00818935,0.002769528,0.002661012,0.0004392507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865791,"about_ca_system_score_gemma":0.001113907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467851,"about_ca_topic_score_gemma":0.0009367304,"domain_scores_codex":[0.9967242,0.001242088,0.0003976389,0.0005398927,0.0009209258,0.0001752254],"domain_scores_gemma":[0.9959394,0.0019295,0.0004646574,0.000982668,0.0005193091,0.0001645128],"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":[0.00004124864,0.00001321762,0.0003072596,0.0002023222,0.00003255421,0.0001462924,0.0005194079,0.01063309,0.001256459,0.962226,0.001517774,0.02310441],"study_design_scores_gemma":[0.00001270144,0.00001832829,0.0004241218,0.0001299181,0.00003096144,0.00009899217,0.0003080148,0.02756935,0.0008041125,0.9574013,0.01317024,0.0000319084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01110798,0.003424729,0.9674562,0.003282109,0.0002886175,0.0001115184,0.0003700512,0.0002739438,0.01368472],"genre_scores_gemma":[0.3820864,0.005978882,0.6052474,0.0008113888,0.0006750936,0.0004419441,0.0004780098,0.0001652557,0.004115701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008010482,"threshold_uncertainty_score":0.02090621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008469286528252585,"score_gpt":0.2065602314926753,"score_spread":0.1980909449644228,"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."}}