{"id":"W2964270921","doi":"10.48550/arxiv.1511.07304","title":"","year":2015,"lang":"","type":"article","venue":"arXiv (Cornell University)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; Simon Fraser University","funders":"Defense Advanced Research Projects Agency","keywords":"Mathematics; Markov chain; Simulated annealing; Kernel (algebra); Algorithm; Convergence (economics); Bounded function; Mathematical optimization; Discrete mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00395813,0.001312332,0.00185604,0.00112296,0.001636127,0.002326373,0.002487664,0.002777069,0.01649716],"category_scores_gemma":[0.03252328,0.000641634,0.001545636,0.0007913623,0.002585896,0.003418934,0.003708264,0.004611511,0.004040616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522862,"about_ca_system_score_gemma":0.00298643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516016,"about_ca_topic_score_gemma":0.001662749,"domain_scores_codex":[0.9974256,0.0007714408,0.0001507155,0.0007754308,0.0005453567,0.0003313344],"domain_scores_gemma":[0.9859789,0.008502051,0.001050056,0.002020283,0.00169429,0.0007544144],"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":[0.0001394134,0.0001424752,0.0008458935,0.0003359871,0.00007699998,0.0001098805,0.000154081,0.1148825,0.005252753,0.8381746,0.01191478,0.02797047],"study_design_scores_gemma":[0.00003997575,0.000136672,0.0004087949,0.0001227354,0.00003936537,0.0001487336,0.00006098597,0.5572901,0.004342094,0.4233977,0.01396612,0.0000466718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02054753,0.0007941193,0.9427664,0.001706897,0.0004184936,0.0001709279,0.000554549,0.0006147315,0.03242646],"genre_scores_gemma":[0.6603885,0.001373922,0.3117751,0.002065464,0.0006769662,0.001031997,0.001374474,0.0009262539,0.02038716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9835029,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3248583124832102,"score_gpt":0.244567354726498,"score_spread":0.08029095775671222,"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."}}