{"id":"W75950130","doi":"","title":"Granular Computing in Knowledge Integration and Reuse.","year":2005,"lang":"en","type":"article","venue":"Information Reuse and Integration","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Reuse; Software engineering; Distributed computing; Engineering","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":[0.003057805,0.0006514557,0.001396069,0.002822296,0.001130714,0.007491869,0.001417048,0.002319091,0.00351562],"category_scores_gemma":[0.009374971,0.000668158,0.0008933439,0.004187739,0.007569926,0.01261979,0.003582121,0.003011786,0.0006669682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288905,"about_ca_system_score_gemma":0.001308977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002131136,"about_ca_topic_score_gemma":0.002038874,"domain_scores_codex":[0.9977519,0.0007835398,0.0001996075,0.0003166666,0.0007439179,0.0002045191],"domain_scores_gemma":[0.9963805,0.002350791,0.0002305609,0.0006013294,0.0002678763,0.0001690264],"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":[0.00002207306,0.000008199363,0.0001384978,0.0001642789,0.00003005926,0.00007297978,0.0002613461,0.003516176,0.0002024963,0.9668372,0.002775374,0.02597134],"study_design_scores_gemma":[0.000006402903,0.000008545996,0.0001373551,0.00009188373,0.00001606699,0.00006807991,0.0001148619,0.0064923,0.0002403641,0.9783101,0.0145028,0.00001124526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01646114,0.1599637,0.6876516,0.0238766,0.002391989,0.000198345,0.0003705253,0.0006345067,0.1084516],"genre_scores_gemma":[0.6706103,0.05454724,0.2494999,0.002563375,0.003296659,0.0004254614,0.0003388146,0.0001608368,0.01855735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007491869,"threshold_uncertainty_score":0.01660728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127258533991206,"score_gpt":0.2446593734781533,"score_spread":0.2319335200790326,"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."}}