{"id":"W2169611786","doi":"10.1006/tpbi.2001.1520","title":"A Bayesian Framework for Parentage Analysis: The Value of Genetic and Other Biological Data","year":2001,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Statistics; Bayesian probability; Variance (accounting); Confidence interval; Mating; Mathematics; Computer science; Biology; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000346325,0.00007351302,0.0001632068,0.00002290061,0.0001099585,0.00000375287,0.0002423882,0.00009842776,0.001383654],"category_scores_gemma":[0.0002275612,0.00004264784,0.00003254975,0.0001583589,0.001076329,0.00001898239,0.0003386972,0.00005140146,0.000007985766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000661672,"about_ca_system_score_gemma":6.410871e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004213357,"about_ca_topic_score_gemma":0.00011544,"domain_scores_codex":[0.9992288,0.0001439444,0.0001822799,0.0002544829,0.00003650009,0.0001539812],"domain_scores_gemma":[0.9992983,0.0003064511,0.00006586482,0.0003032864,0.000002680627,0.00002338545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002584078,0.00001677341,0.5933556,8.913713e-7,0.00005025615,1.266385e-7,0.00002395655,0.00006011308,0.000006080587,0.405801,0.00008749191,0.0005718863],"study_design_scores_gemma":[0.00006172381,0.00005598782,0.586053,7.635267e-7,0.0001164698,5.492591e-7,0.00002983219,0.004703377,9.415386e-7,0.4082128,0.0007266472,0.00003791218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6651748,0.00006564316,0.3303428,0.002013851,0.00006062279,0.000362809,0.00004462122,0.00002144554,0.001913417],"genre_scores_gemma":[0.9931848,0.00004556492,0.005538149,0.001128307,0.00002531349,0.00001851367,0.00004618927,0.000003272258,0.000009898446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.32801,"threshold_uncertainty_score":0.9995292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046042022026564,"score_gpt":0.3085152492201481,"score_spread":0.2780548289998824,"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."}}