{"id":"W3104989246","doi":"10.1002/eap.2258","title":"Partial and complete dependency among data sets has minimal consequence on estimates from integrated population models","year":2020,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistics; Mathematics; Population; Independence (probability theory); Variance (accounting); Data set; Sample size determination; Econometrics; Sample (material); Dependency (UML); Set (abstract data type); Demography; Computer science; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04143251,0.001098721,0.001927253,0.001382065,0.00128424,0.00297599,0.002020054,0.001547493,0.00155827],"category_scores_gemma":[0.2436262,0.001543887,0.001907301,0.001335474,0.003517564,0.005072518,0.004742406,0.003183753,0.0004204577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482597,"about_ca_system_score_gemma":0.001624747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006030349,"about_ca_topic_score_gemma":0.006512952,"domain_scores_codex":[0.9763311,0.01512901,0.001588392,0.003970807,0.002367602,0.0006132632],"domain_scores_gemma":[0.8366662,0.1328223,0.008358634,0.01723951,0.004177424,0.0007358351],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004727624,0.0001009221,0.1757015,0.000715643,0.002025665,0.000598526,0.001667099,0.6422406,0.003154011,0.08890295,0.00274173,0.08167858],"study_design_scores_gemma":[0.0001249347,0.0003133144,0.06121762,0.0004975857,0.0004523193,0.0006597291,0.0004562173,0.7414392,0.002651923,0.1868257,0.005120242,0.0002411798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2364379,0.0008185772,0.7537202,0.001267453,0.00007138181,0.0002524178,0.0009330355,0.0005456648,0.005953337],"genre_scores_gemma":[0.8502993,0.000392701,0.1460296,0.0006454232,0.00006174469,0.0003804333,0.00134334,0.0003018482,0.0005455494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585675,"threshold_uncertainty_score":0.2191187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196491914498696,"score_gpt":0.2720990700873268,"score_spread":0.1524498786374572,"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."}}