{"id":"W6969277584","doi":"10.5555/3635637.3662960","title":"Continuous Monte Carlo Graph Search","year":2024,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Monte Carlo method; Graph; Graph theory; Multi-agent system; Markov chain 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":[0.001246146,0.0006264207,0.001296677,0.001237095,0.0006302014,0.001593615,0.001733018,0.002095689,0.02447226],"category_scores_gemma":[0.008372105,0.0006451489,0.0006739342,0.001733015,0.001163485,0.001636287,0.001151407,0.001608576,0.003724554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133773,"about_ca_system_score_gemma":0.00174431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136253,"about_ca_topic_score_gemma":0.01576199,"domain_scores_codex":[0.9992498,0.0003244096,0.00002236939,0.0001732552,0.0001441422,0.00008605924],"domain_scores_gemma":[0.995311,0.003514836,0.000129619,0.0004983892,0.0003333786,0.0002129064],"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":[0.0001986103,0.0001046205,0.0007418023,0.0001450485,0.00007822287,0.00008011239,0.00003885215,0.8263165,0.0004405778,0.07487711,0.02051535,0.0764632],"study_design_scores_gemma":[0.00002613095,0.0000120881,0.00008120497,0.0000119987,0.000006147625,0.00001724996,0.000006237585,0.9768035,0.0001218323,0.02095853,0.001949779,0.000005242059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0174924,0.001824926,0.929453,0.001366042,0.000536761,0.0001910304,0.0009051395,0.001548679,0.04668207],"genre_scores_gemma":[0.5630744,0.0009358765,0.3810218,0.0006920412,0.0002966968,0.0004552547,0.002186801,0.0007283051,0.0506088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02447226,"threshold_uncertainty_score":0.08186787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00930263009474361,"score_gpt":0.1984936477575893,"score_spread":0.1891910176628457,"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."}}