{"id":"W7043620967","doi":"","title":"Time Series Prediction: HMMs with TAN and Bayesian Network Observation Structures","year":2024,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Hidden Markov model; Dynamic Bayesian network; Bayesian probability; Series (stratigraphy); Variable-order Bayesian network; Bayesian network; Feature (linguistics); Bayes' theorem; Time series","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":[0.002578844,0.0007510183,0.0008895582,0.0007826415,0.000347927,0.001250539,0.001409097,0.0009422869,0.002901311],"category_scores_gemma":[0.009595916,0.0007321223,0.0008939046,0.001020446,0.0006373886,0.00251051,0.001062156,0.002271406,0.0009830779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108995,"about_ca_system_score_gemma":0.001027392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572653,"about_ca_topic_score_gemma":0.01642522,"domain_scores_codex":[0.9991983,0.0003400931,0.00005157803,0.0002362857,0.000114198,0.00005952049],"domain_scores_gemma":[0.9963377,0.002770416,0.0002153918,0.0003066028,0.0002865854,0.00008344678],"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":[0.000167585,0.0000770554,0.004820988,0.00008755435,0.0001130876,0.00009947203,0.000176094,0.7773861,0.0008774397,0.04928299,0.003494625,0.1634171],"study_design_scores_gemma":[0.0000021568,0.000004809644,0.0001187893,0.000005686646,0.00000469289,0.000005892865,0.000003379827,0.9910801,0.00008160786,0.008395231,0.000294225,0.000003401761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01857214,0.0006544044,0.9771082,0.0006290022,0.0001037206,0.00003235965,0.0003129938,0.0007857235,0.001801434],"genre_scores_gemma":[0.7111021,0.001645411,0.2755749,0.0004544634,0.0002620586,0.0002037692,0.00148551,0.0002170184,0.009054807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01572653,"threshold_uncertainty_score":0.03126997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005830846445702685,"score_gpt":0.1602369417612988,"score_spread":0.1544060953155961,"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."}}