{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177927,0.002104092,0.001818895,0.001954923,0.0008659558,0.003347247,0.003249776,0.002966644,0.02816437],"category_scores_gemma":[0.009528182,0.001017981,0.002012568,0.002802526,0.001108199,0.004330021,0.001749732,0.003020468,0.01310478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517859,"about_ca_system_score_gemma":0.001607676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007464257,"about_ca_topic_score_gemma":0.007264081,"domain_scores_codex":[0.9979254,0.0007878313,0.0001678292,0.0004702478,0.0004922516,0.0001563422],"domain_scores_gemma":[0.9946288,0.003763696,0.0003602792,0.000491765,0.0006587673,0.00009660767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002247137,0.0001708865,0.004490407,0.001672086,0.0005262883,0.0007896366,0.0004292234,0.1616083,0.001478629,0.3874242,0.1287984,0.3123874],"study_design_scores_gemma":[0.00007775814,0.00009203887,0.001079365,0.0005418391,0.0001543099,0.0006432157,0.0001253816,0.3051318,0.001052326,0.4803039,0.2106531,0.0001451275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003568046,0.02825686,0.901135,0.004853843,0.002126449,0.0003135676,0.01180202,0.00453785,0.04340643],"genre_scores_gemma":[0.2667845,0.058447,0.5221544,0.003809797,0.00377607,0.001808411,0.02929817,0.001371239,0.1125505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02816437,"threshold_uncertainty_score":0.09421915,"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."}}