{"id":"W3189492453","doi":"10.1371/journal.pcbi.1004763","title":"Ancestral Reconstruction","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":202,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; AIDS Vancouver","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Universities Space Research Association; Simon Fraser University; Providence Health Care; St. Paul's Foundation; Bill and Melinda Gates Foundation","keywords":"Evolutionary biology; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003973014,0.00004757011,0.0000571016,0.00002049975,0.000048284,0.000002743529,0.00007026686,0.00003423055,0.004097933],"category_scores_gemma":[0.0000149151,0.00003049965,0.00001752809,0.00004538498,0.0001473359,0.00007882464,0.00004400805,0.00001999805,0.001268667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000322148,"about_ca_system_score_gemma":0.000003333457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007290645,"about_ca_topic_score_gemma":0.00001360844,"domain_scores_codex":[0.9995721,0.00003324577,0.00008518535,0.0001534215,0.00003877818,0.0001172705],"domain_scores_gemma":[0.9998093,0.00008169914,0.00003519597,0.00004320297,0.000004024062,0.00002652913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002235096,0.00005419323,0.8336525,0.000001668081,0.00002752401,0.000001905007,0.00001930875,0.000559379,0.008246926,0.01688325,0.003612441,0.1369185],"study_design_scores_gemma":[0.0004946413,0.0001543416,0.8677201,0.000004383971,0.000007434294,0.00001697948,0.000006225377,0.0009267306,0.0001829508,0.1181888,0.01217178,0.0001255551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724934,0.000005029252,0.008558452,0.001320292,0.0001784104,0.0000775242,0.000004228214,0.00003996893,0.01732271],"genre_scores_gemma":[0.9951364,0.000004773446,0.004053132,0.0001174957,0.0000523856,0.00001213514,0.000007720206,0.000002690674,0.0006132017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.136793,"threshold_uncertainty_score":0.999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140338620024843,"score_gpt":0.218436811605148,"score_spread":0.2044029496026637,"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."}}