{"id":"W2965557014","doi":"10.1038/s41592-019-0476-x","title":"Markov models—Markov chains","year":2019,"lang":"en","type":"article","venue":"Nature Methods","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Markov chain; Statistical physics; Computer science; Markov model; Computational biology; Biology; Physics; 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":[0.007754316,0.00248248,0.003357987,0.003974433,0.001868427,0.005622347,0.00481578,0.005545095,0.02489278],"category_scores_gemma":[0.04994335,0.002417266,0.003029973,0.003500804,0.003761473,0.009065744,0.004049414,0.00571834,0.006355104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00321005,"about_ca_system_score_gemma":0.003217269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007524694,"about_ca_topic_score_gemma":0.006001294,"domain_scores_codex":[0.9945295,0.002860138,0.0002147333,0.001133464,0.000806364,0.0004558612],"domain_scores_gemma":[0.9464822,0.04562523,0.00211415,0.002836511,0.001887261,0.00105448],"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":[0.0001211726,0.00009773577,0.001016597,0.0002513426,0.000108566,0.0001348842,0.0001488145,0.2180471,0.0002386187,0.7444897,0.01196097,0.02338452],"study_design_scores_gemma":[0.00003023875,0.00001067993,0.0001003605,0.00003180863,0.00001908579,0.00003182805,0.00001549892,0.3649868,0.00007683149,0.6324214,0.002252238,0.00002326583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006645303,0.001663235,0.9790846,0.001627551,0.00027829,0.0001395621,0.001932459,0.0009517358,0.007677245],"genre_scores_gemma":[0.5153204,0.009251245,0.3984956,0.002637403,0.002313998,0.003234135,0.01223449,0.001886278,0.0546266],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02489278,"threshold_uncertainty_score":0.08327466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950609956826779,"score_gpt":0.3250798644910975,"score_spread":0.3155737649228297,"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."}}