{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002945964,0.0001748962,0.0001800231,0.0006808459,0.0002394425,0.000240941,0.001178082,0.00008158202,0.00005051175],"category_scores_gemma":[0.000008766428,0.0001800515,0.0001844274,0.00185769,0.0001233951,0.000890074,0.0003657617,0.0003011704,0.000320242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006167156,"about_ca_system_score_gemma":0.0001110747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173566,"about_ca_topic_score_gemma":0.00001583199,"domain_scores_codex":[0.9984779,0.0001468831,0.0001183714,0.0005539909,0.0002619735,0.0004409119],"domain_scores_gemma":[0.9990432,0.0001350042,0.00002292826,0.0005178913,0.00008308345,0.0001979555],"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":[0.00001319612,0.00004672719,0.0001977668,0.00004061553,0.00008617328,0.002061781,0.001365706,0.0001792022,0.0003228522,0.9586346,0.002148191,0.03490316],"study_design_scores_gemma":[0.001460561,0.0006339136,0.001501393,0.0003110982,0.0001127656,0.0002680781,0.001883828,0.05929152,0.003846722,0.03782288,0.8912995,0.001567682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3140778,0.002317396,0.5486949,0.003226647,0.003582328,0.0006476298,0.00004827563,0.003223452,0.1241816],"genre_scores_gemma":[0.9741666,0.0001188882,0.003365485,0.0001574447,0.0000899588,6.242281e-7,0.000001843974,0.00001656193,0.0220826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9208118,"threshold_uncertainty_score":0.7342286,"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."}}