{"id":"W6941934884","doi":"10.1371/journal.pone.0098470.t004","title":"Estimated fecundity parameters of intercept (<i>β<sub>0</sub></i>), slope (<i>β<sub>1</sub></i>), and standard deviation (<i>σ</i>) for three reporting groups of Yukon River Chinook salmon obtained using individual assignment (IA) and Bayesian mixture modeling (BMM), with standard errors (SE) and either 95% confidence or probability intervals (CI or PI).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinook wind; Standard deviation; Bayesian probability; Fecundity; Standard error; Confidence interval; Bayes estimator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082736,0.0004220838,0.0002554542,0.001124776,0.0004347444,0.0003468336,0.0007123367,0.00036821,0.009464018],"category_scores_gemma":[0.0031224,0.0003037699,0.0005546493,0.001199218,0.0002610631,0.0005056414,0.000415157,0.0003264124,0.002728603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009632458,"about_ca_system_score_gemma":0.0005637576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407447,"about_ca_topic_score_gemma":0.09726952,"domain_scores_codex":[0.9996339,0.00005981451,0.00003813058,0.0001564677,0.0000850181,0.00002671083],"domain_scores_gemma":[0.9986626,0.0004487531,0.0002832779,0.0002169123,0.0003498159,0.00003874068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002862602,0.00006338822,0.8080723,0.0002746974,0.0003801763,0.0002744033,0.001033851,0.009792937,0.02422357,0.003245374,0.02099453,0.1313586],"study_design_scores_gemma":[0.00002826125,0.00005089359,0.9690828,0.00003878647,0.0002022301,0.000176415,0.0003145726,0.01055619,0.005001849,0.001301495,0.01319027,0.00005633993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8592948,0.0003169386,0.05081185,0.0002289506,0.00005649738,0.000302124,0.07208601,0.0008283157,0.01607442],"genre_scores_gemma":[0.9269392,0.0001009562,0.02536918,0.00006551616,0.000008747901,0.0002384783,0.04066566,0.0001969069,0.006415339],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9659255,"threshold_uncertainty_score":0.0677523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.073571409963755,"score_gpt":0.2896505890104673,"score_spread":0.2160791790467123,"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."}}