{"id":"W2951753219","doi":"10.1017/s0021900200012055","title":"The Containment Condition and Adapfail Algorithms","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Containment (computer programming); Markov chain Monte Carlo; Mathematics; Algorithm; Markov chain; Convergence (economics); Ergodic theory; Focus (optics); Mathematical optimization; Monte Carlo method; Computer science; Statistics","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":[0.009628472,0.0008862773,0.001588688,0.001169222,0.001104685,0.002301298,0.003022818,0.002769791,0.008708584],"category_scores_gemma":[0.07340489,0.0006678079,0.0008351535,0.001060423,0.003712327,0.005556748,0.004913808,0.004437414,0.002171613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290862,"about_ca_system_score_gemma":0.001841093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116819,"about_ca_topic_score_gemma":0.0006823315,"domain_scores_codex":[0.991419,0.004254065,0.0004195564,0.001080751,0.002345176,0.0004814937],"domain_scores_gemma":[0.9368843,0.0460324,0.00286243,0.008543894,0.00457396,0.001103114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004516394,0.0001359252,0.003085168,0.0002467789,0.00007655419,0.0002045505,0.0002922541,0.1478813,0.002538336,0.7174538,0.008697076,0.1189366],"study_design_scores_gemma":[0.00005405051,0.0001709143,0.0003323913,0.00006498785,0.00001687681,0.0002218918,0.00003982954,0.7075327,0.003153734,0.2826208,0.005766373,0.00002548898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01757256,0.0005954366,0.9699365,0.0009619405,0.0001255713,0.0001041853,0.0001095484,0.0006274455,0.009966752],"genre_scores_gemma":[0.6346974,0.0009513012,0.3497653,0.001596445,0.0005403634,0.0007838171,0.0006382788,0.0008001029,0.01022703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009628472,"threshold_uncertainty_score":0.05092084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507870658301528,"score_gpt":0.3129043659661507,"score_spread":0.2778256593831355,"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."}}