{"id":"W1536864280","doi":"10.1142/4648","title":"Hidden Markov Models","year":2001,"lang":"en","type":"book","venue":"Series in machine perception and artificial intelligence","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hidden Markov model; Markov chain; Artificial intelligence; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000435357,0.0003980906,0.0004175931,0.0004573673,0.0001481164,0.0003346023,0.0007616644,0.0003615262,0.0007105509],"category_scores_gemma":[0.00003464284,0.0004080335,0.0001054417,0.0002564983,0.0002748934,0.0009829006,0.0004155824,0.0006411669,0.0002125427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602949,"about_ca_system_score_gemma":0.0001191498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007441139,"about_ca_topic_score_gemma":0.000343181,"domain_scores_codex":[0.9977626,0.0001083319,0.0006785755,0.0007654975,0.0003370392,0.000347985],"domain_scores_gemma":[0.9989944,0.0000634578,0.0001636887,0.0005379066,0.0001189072,0.0001216768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001927539,0.00004146024,0.000006038747,0.00003836121,0.000006458475,0.0000352349,0.001025039,0.000008937173,0.0001369358,0.1147495,0.001469379,0.8824634],"study_design_scores_gemma":[0.00002308579,0.0001498796,0.00004751852,0.0002277672,0.000008927856,0.0001050634,0.0001962675,0.04139499,0.000292351,0.9452041,0.01172757,0.0006224032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001380896,0.0002477422,0.7627964,0.001168897,0.0003459714,0.0004454215,0.00002864776,0.0004867311,0.2343421],"genre_scores_gemma":[0.05419768,0.01753063,0.2137929,0.002195107,0.001097753,0.0002829897,0.0003642919,0.000190486,0.7103482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.881841,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608557462599119,"score_gpt":0.2853434635284394,"score_spread":0.2492578889024482,"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."}}