{"id":"W2146907710","doi":"10.1186/1471-2148-13-38","title":"Exploring power and parameter estimation of the BiSSE method for analyzing species diversification","year":2013,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":293,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; University of Washington; National Evolutionary Synthesis Center; National Science Foundation","keywords":"Asymmetry; Confounding; Sample size determination; Character (mathematics); Statistics; Biology; Diversification (marketing strategy); Binary number; Econometrics; Statistical physics; Evolutionary biology; Biological system; Mathematics; 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":[0.07686394,0.001259154,0.001421677,0.004479879,0.0009742893,0.00209541,0.00217934,0.001752197,0.002520555],"category_scores_gemma":[0.3113092,0.0006504026,0.001755732,0.002311558,0.002403167,0.003571415,0.002923803,0.00247837,0.0005573906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009450206,"about_ca_system_score_gemma":0.001253841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935881,"about_ca_topic_score_gemma":0.001651968,"domain_scores_codex":[0.9706004,0.02354051,0.0009925078,0.002420159,0.002180507,0.0002659656],"domain_scores_gemma":[0.437033,0.5368333,0.007548941,0.01132824,0.006279428,0.000977164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001455589,0.0002949248,0.3097764,0.001077397,0.003083872,0.0005851334,0.002209553,0.3647366,0.007338744,0.03096644,0.002349373,0.276126],"study_design_scores_gemma":[0.00009577159,0.000332032,0.01418047,0.0001388851,0.0001554898,0.0003813678,0.0002046183,0.9462515,0.003775293,0.0327749,0.001640124,0.00006958732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2304135,0.001134416,0.7645226,0.0005824124,0.00007660376,0.0001908979,0.0002782118,0.0005846776,0.002216501],"genre_scores_gemma":[0.7656557,0.0003678786,0.2325025,0.0001854507,0.00006135481,0.0002819764,0.0004398218,0.0002079537,0.0002974824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07686394,"threshold_uncertainty_score":0.4065003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086708182740434,"score_gpt":0.2794017728076054,"score_spread":0.170730954533562,"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."}}