{"id":"W2246136772","doi":"","title":"TYPE-2 TAKAGI-SUGENO-KANG FUZZY LOGIC SYSTEM AND UNCERTAINTY IN MACHINING","year":2012,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Philosophy; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965698,0.0004330893,0.0004549263,0.0003674874,0.0004166019,0.001069618,0.000631356,0.0007168623,0.001046283],"category_scores_gemma":[0.001005031,0.0001973654,0.00050557,0.0004295855,0.0005146661,0.0009013669,0.0003664156,0.000569378,0.0001260925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404275,"about_ca_system_score_gemma":0.0006101406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231817,"about_ca_topic_score_gemma":0.002685734,"domain_scores_codex":[0.9996229,0.00007285342,0.00002836156,0.00008407382,0.0001511067,0.00004065126],"domain_scores_gemma":[0.9997568,0.00009780782,0.00004470019,0.00001853552,0.00007416357,0.000008047175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000180914,0.00005301032,0.004180605,0.0004081041,0.0001125374,0.0007366162,0.0007303741,0.7933303,0.01990589,0.0936015,0.001129912,0.08563019],"study_design_scores_gemma":[0.000006963302,0.00005154805,0.001254203,0.00002110721,0.00001863091,0.00009933248,0.00008399357,0.9761825,0.001860958,0.01882378,0.001573121,0.00002392561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1037009,0.001774124,0.8828077,0.0003238756,0.000123108,0.00006151368,0.00009679067,0.000177928,0.01093404],"genre_scores_gemma":[0.9648374,0.0008638881,0.03052185,0.00004825702,0.00004699748,0.00005546213,0.00006223709,0.000009820993,0.003554021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004231817,"threshold_uncertainty_score":0.008414328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008541456642701605,"score_gpt":0.2048935101891182,"score_spread":0.1963520535464165,"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."}}