{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009412688,0.0001217477,0.0001442914,0.000009512291,0.0003178812,0.00004515047,0.0003431066,0.0001225966,0.001111031],"category_scores_gemma":[0.0001215211,0.000105621,0.00001601373,0.0001467168,0.0003577099,0.0002850053,0.0002831091,0.0001665691,0.0003957128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003979729,"about_ca_system_score_gemma":0.00001188725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006826689,"about_ca_topic_score_gemma":0.0007564063,"domain_scores_codex":[0.9988816,0.00006144808,0.0002284188,0.0005526918,0.0001128276,0.0001630047],"domain_scores_gemma":[0.9991746,0.0003156564,0.00009498285,0.0002762008,0.000007895344,0.0001306866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005443706,0.0001867887,0.9860966,0.000002509897,0.00001692833,0.000009601249,0.0001032841,0.003806548,0.0009377961,0.002676004,0.002359903,0.00374963],"study_design_scores_gemma":[0.0001345849,0.00006281382,0.7726851,0.000001942272,0.00001725903,0.000001252099,0.00001765151,0.2119075,0.00001767122,0.01443225,0.0006200442,0.0001018925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979966,0.00001101642,0.01335473,0.005333362,0.00001807612,0.0004758657,0.0002955367,0.0001048947,0.0004404626],"genre_scores_gemma":[0.989694,0.000007224474,0.006963246,0.001965973,0.00002861749,0.0001740789,0.001153917,0.000005864754,0.00000708835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134115,"threshold_uncertainty_score":0.9998021,"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."}}