{"id":"W4411021812","doi":"10.1016/j.ijar.2025.109488","title":"On Fast arc-reversal","year":2025,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arc (geometry); Computer science; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003181083,0.001124947,0.00130165,0.001669528,0.0009286436,0.001495967,0.002448811,0.001030509,0.007287525],"category_scores_gemma":[0.01426002,0.0007301734,0.001800815,0.001793435,0.002046965,0.004848455,0.003510514,0.002869114,0.001630758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157572,"about_ca_system_score_gemma":0.002094798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00577262,"about_ca_topic_score_gemma":0.006763742,"domain_scores_codex":[0.9978967,0.0007958235,0.0001073892,0.0004963522,0.0005228696,0.0001808719],"domain_scores_gemma":[0.9944541,0.003198068,0.0002621812,0.001270385,0.0006785836,0.0001367162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003327778,0.0000805137,0.001466518,0.0003504955,0.00008904875,0.0002371278,0.0004188082,0.1915596,0.00382788,0.3631348,0.007025889,0.4314766],"study_design_scores_gemma":[0.00005513596,0.00008678589,0.0002705501,0.00006812474,0.00004172826,0.0002103192,0.0001002528,0.4396888,0.004236761,0.5388721,0.01632743,0.00004209442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006183476,0.0002631479,0.9891916,0.000329235,0.00006174989,0.00006514679,0.000161537,0.00100445,0.00273967],"genre_scores_gemma":[0.1912958,0.0007505199,0.7990558,0.0006883519,0.0001051645,0.0002618696,0.000957992,0.0007289538,0.006155551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007287525,"threshold_uncertainty_score":0.02437919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111544097775091,"score_gpt":0.2827103675319259,"score_spread":0.2715949265541749,"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."}}