{"id":"W6888873858","doi":"10.24433/co.6244256.v1","title":"Renewal Monte Carlo","year":2019,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; Markov decision process; Markov chain Monte Carlo; Markov process; Reinforcement learning; Particle filter; Renewal theory; Hybrid Monte Carlo","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":[0.001407484,0.0006968045,0.0007636979,0.0008416453,0.0006628635,0.00140005,0.001816131,0.001148838,0.02408332],"category_scores_gemma":[0.009387999,0.0005360178,0.0008772042,0.001001612,0.0006223079,0.0009867243,0.001359297,0.001624471,0.004068968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169304,"about_ca_system_score_gemma":0.002317564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120148,"about_ca_topic_score_gemma":0.01197361,"domain_scores_codex":[0.998701,0.0004551045,0.00006629752,0.000196154,0.00045207,0.0001293653],"domain_scores_gemma":[0.9971145,0.001458546,0.0001641707,0.0005473162,0.0005733276,0.0001420994],"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":[0.0002655797,0.0003359064,0.003171908,0.0002433703,0.0001556841,0.000198594,0.0001405992,0.5812177,0.002215336,0.1424635,0.03069264,0.2388992],"study_design_scores_gemma":[0.0000541555,0.00002774198,0.0001741567,0.00002106597,0.0000189056,0.00006370097,0.000008075423,0.9644307,0.001291765,0.02009684,0.01379677,0.00001621149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007457936,0.0002369447,0.9548522,0.0002278134,0.0001911403,0.0002534258,0.0006204266,0.008782314,0.02737769],"genre_scores_gemma":[0.2826606,0.0003092582,0.6912496,0.0003509144,0.0001013702,0.0007505975,0.001613145,0.001452819,0.02151173],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02408332,"threshold_uncertainty_score":0.0805667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608740810444235,"score_gpt":0.2495830898333894,"score_spread":0.2334956817289471,"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."}}