{"id":"W2260478056","doi":"10.1090/fic/026/14","title":"Some stratagems for the estimation of time series using the Metropolis method","year":2000,"lang":"en","type":"other","venue":"","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Series (stratigraphy); Estimation; Time series; Computer science; Machine learning; Economics; Geology","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":[0.007680939,0.00133059,0.001811906,0.002010199,0.001148213,0.00181831,0.003450069,0.00165902,0.01288803],"category_scores_gemma":[0.02872602,0.001810339,0.002178667,0.002566126,0.002202128,0.003903909,0.002651381,0.004152488,0.002302699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749239,"about_ca_system_score_gemma":0.001993226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111737,"about_ca_topic_score_gemma":0.01900235,"domain_scores_codex":[0.9969061,0.002156411,0.0001634049,0.0003358668,0.000308411,0.0001297985],"domain_scores_gemma":[0.9847685,0.01266784,0.0003162802,0.00132634,0.000688851,0.0002322296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002241558,0.0001104891,0.002878358,0.0002040118,0.0002651969,0.0001698764,0.0003365524,0.2330653,0.001374599,0.6309645,0.005626364,0.1247806],"study_design_scores_gemma":[0.00005697777,0.00003765997,0.000559654,0.00003354608,0.00003784311,0.00003659244,0.00002411151,0.7223055,0.0007434885,0.2719839,0.004141937,0.0000386856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002575372,0.0002479933,0.9959037,0.0001934642,0.00004089191,0.00004528252,0.00009497197,0.0002040445,0.0006943049],"genre_scores_gemma":[0.1011011,0.001273894,0.8847565,0.0002529814,0.00049001,0.000776285,0.001002763,0.0006744992,0.009672072],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01288803,"threshold_uncertainty_score":0.04311472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278584514509622,"score_gpt":0.3546777548981375,"score_spread":0.3268193034471752,"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."}}