{"id":"W1549440267","doi":"10.1007/978-3-642-18302-7_10","title":"Perceptual Tolerance Intersection","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Intersection (aeronautics); Disjoint sets; Computer science; Closeness; Perception; Set (abstract data type); Artificial intelligence; Theoretical computer science; Mathematics; Discrete mathematics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000524918,0.0005068037,0.0004620434,0.0006269014,0.0002405612,0.0004267243,0.003398743,0.0003384609,0.00009589196],"category_scores_gemma":[0.00002733283,0.0004383276,0.0001569358,0.0004461323,0.0006766217,0.0007134514,0.001213606,0.0008383369,0.0002011497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741515,"about_ca_system_score_gemma":0.0002821649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004897126,"about_ca_topic_score_gemma":0.00007966416,"domain_scores_codex":[0.9965901,0.00002850241,0.0004508417,0.001583041,0.0007051308,0.0006424256],"domain_scores_gemma":[0.9979362,0.0001256502,0.000221019,0.001384864,0.0001658145,0.0001664407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000614315,0.00002581701,0.00003001174,0.00001559695,0.000006044818,0.00007249691,0.002147826,0.002658266,0.0000317088,0.02339584,0.00006413867,0.9715461],"study_design_scores_gemma":[0.0004532334,0.0006587114,0.0006796873,0.0004898898,0.00001156971,0.0002941323,6.054462e-7,0.5326997,0.0004304984,0.4551158,0.007559925,0.001606195],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001068539,0.0002794027,0.9574925,0.0002145592,0.003555634,0.0002407792,0.000002328219,0.0002111526,0.03789682],"genre_scores_gemma":[0.4198226,0.00009634532,0.575541,0.002709221,0.001051839,0.000012305,0.000004526358,0.00004823864,0.0007138743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9699399,"threshold_uncertainty_score":0.9998068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509609819682561,"score_gpt":0.2303623160823162,"score_spread":0.2052662178854907,"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."}}