{"id":"W2286310935","doi":"10.48550/arxiv.1510.04316","title":"Probabilistic Opacity in Refinement-Based Modeling","year":2015,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Probabilistic logic; Markov chain; Computer science; Predicate (mathematical logic); Opacity; Theoretical computer science; TRACE (psycholinguistics); Algorithm; Discrete mathematics; Mathematics; Programming language; Artificial intelligence","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":[0.01105324,0.001295874,0.001614038,0.002038166,0.001102788,0.003791499,0.00300987,0.001878182,0.003324848],"category_scores_gemma":[0.0639122,0.001633779,0.003223962,0.001710417,0.006341003,0.008091755,0.006168012,0.004482967,0.0003941467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005169143,"about_ca_system_score_gemma":0.003471849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558578,"about_ca_topic_score_gemma":0.0113922,"domain_scores_codex":[0.9876257,0.003890631,0.0007398921,0.001931269,0.00452459,0.001287955],"domain_scores_gemma":[0.9426568,0.04218004,0.003702836,0.008204788,0.002272704,0.0009828104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001835992,0.00004930838,0.003214507,0.0001271102,0.0000758548,0.0001783395,0.0007157696,0.5686195,0.001496613,0.4114171,0.0003701411,0.01355221],"study_design_scores_gemma":[0.000020719,0.00002242973,0.0001666301,0.000021093,0.00002553841,0.00003063048,0.00002483756,0.7801328,0.001051112,0.2176445,0.0008435189,0.0000161651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0284428,0.0001703375,0.9682708,0.0003759652,0.00001836389,0.00007674011,0.0001668659,0.0007940079,0.001684053],"genre_scores_gemma":[0.7441757,0.0003250165,0.2517132,0.0002091515,0.00007713232,0.0002814897,0.0003675991,0.000277364,0.002573365],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01558578,"threshold_uncertainty_score":0.05845588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685007667451647,"score_gpt":0.2891373620883717,"score_spread":0.2422872854138552,"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."}}