{"id":"W7039797421","doi":"","title":"Maximum tolerance and maximum greatest tolerance","year":2009,"lang":"en","type":"article","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat de Catalunya; European Regional Development Fund; Royal Canadian Geographical Society","keywords":"Separable space; Artificial neural network; Tolerance analysis; Control theory (sociology); Upper and lower bounds","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001137985,0.0002449175,0.0002305949,0.0001404249,0.001236028,0.0002147413,0.001040793,0.0001175482,0.000005762672],"category_scores_gemma":[0.00001337685,0.0002702604,0.000109724,0.000510509,0.0003405555,0.001091658,0.0002493964,0.0002975837,0.00002635607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556552,"about_ca_system_score_gemma":0.000249083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008167206,"about_ca_topic_score_gemma":0.00001146215,"domain_scores_codex":[0.9983026,0.00005380646,0.0002437472,0.0006120164,0.0002951045,0.0004926822],"domain_scores_gemma":[0.9985506,0.00008461837,0.0001189431,0.0007818824,0.0001131226,0.0003508658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003431068,0.0002203938,0.001820976,0.00001578431,0.00003174907,0.000493343,0.0003651359,0.003202208,0.003569774,0.9684474,0.006134283,0.01566465],"study_design_scores_gemma":[0.003813974,0.000742205,0.2995849,0.0004178883,0.0001686293,0.009263433,0.0003689745,0.1209904,0.005544749,0.1639587,0.3922256,0.002920547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.609937,0.002184649,0.1947957,0.03057653,0.0009808782,0.0007840339,0.00007607204,0.0009552852,0.1597099],"genre_scores_gemma":[0.9852736,0.00005613,0.01207479,0.001534489,0.0001773361,0.000009891082,0.00001784531,0.000007698653,0.0008482241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8044887,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022332702189286,"score_gpt":0.2188559449652376,"score_spread":0.2086326179433447,"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."}}