{"id":"W2754586406","doi":"10.1038/s41598-017-12239-0","title":"Allele Age Under Non-Classical Assumptions is Clarified by an Exact Computational Markov Chain Approach","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Markov chain; Allele; Computer science; Computational biology; Chain (unit); Genetics; Bioinformatics; Biology; Machine learning; Gene; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002128641,0.0003243783,0.00069894,0.0007079759,0.0006164146,0.001134036,0.001375888,0.0008241452,0.00259175],"category_scores_gemma":[0.01094913,0.0004034392,0.0007261778,0.000522551,0.002283955,0.002844381,0.001398985,0.001355373,0.000343975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113165,"about_ca_system_score_gemma":0.001679503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806166,"about_ca_topic_score_gemma":0.002697216,"domain_scores_codex":[0.9995081,0.0001581128,0.0000237903,0.00008754672,0.0001517958,0.00007060762],"domain_scores_gemma":[0.9944845,0.003608175,0.0005132345,0.0008053633,0.0004004345,0.0001883321],"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":[0.00003925733,0.0000333254,0.001778455,0.00003483384,0.00001744441,0.0001080179,0.00008972793,0.4400216,0.001377956,0.5489455,0.0004600135,0.00709381],"study_design_scores_gemma":[0.000004173795,0.000003315334,0.0001013772,0.000002917221,0.000002111535,0.00001294078,0.000004729146,0.9163649,0.0002075053,0.08308112,0.0002106217,0.000004244552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09269966,0.00009348983,0.9012603,0.0004152804,0.00004373615,0.0000248898,0.00009752884,0.0001692148,0.005195941],"genre_scores_gemma":[0.8535275,0.000241861,0.1425116,0.0002189826,0.000127427,0.0001090436,0.0001432498,0.0001064467,0.003013932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003806166,"threshold_uncertainty_score":0.01125747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06834082137673468,"score_gpt":0.3439356915080261,"score_spread":0.2755948701312914,"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."}}