{"id":"W2761716165","doi":"10.1111/ibi.12546","title":"State uncertainty models and mark‐resight models for understanding non‐breeding site use by Piping Plovers","year":2017,"lang":"en","type":"article","venue":"Ibis","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment Canada; U.S. Fish and Wildlife Service","keywords":"Charadrius; Population; Endangered species; Vital rates; Abundance (ecology); Geography; Fishery; Plover; Mark and recapture; Habitat; Population model; Population size; Ecology; Biology; Population growth; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0002003917,0.0001414464,0.0001495719,0.0000219036,0.0008201605,0.0001541941,0.0001953592,0.00008893725,0.00009004627],"category_scores_gemma":[0.00002608234,0.0001333032,0.00004459633,0.00002548677,0.0002816601,0.001503955,0.0002031645,0.00009924036,0.00001799917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860906,"about_ca_system_score_gemma":0.000007176163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160203,"about_ca_topic_score_gemma":0.0005294248,"domain_scores_codex":[0.9990116,0.00001487933,0.0001371917,0.0003497697,0.0001283921,0.0003581595],"domain_scores_gemma":[0.9994281,0.00008408973,0.0001154177,0.0002537122,0.000006013088,0.0001126562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005361547,0.0001842423,0.7845545,0.00006052879,0.00008900934,0.00004545054,0.006496614,0.1275216,0.03215316,0.0008224561,0.04102726,0.006509013],"study_design_scores_gemma":[0.002985555,0.000335698,0.06179176,0.000103447,0.0001562531,0.00000984027,0.0008248489,0.8722169,0.001761091,0.05766923,0.001109056,0.00103636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846593,0.00001033184,0.1131981,0.0002319188,0.0001245093,0.000299837,0.000085406,0.00002512386,0.001365493],"genre_scores_gemma":[0.9963634,0.00003112526,0.001171634,0.000156922,0.00001698374,0.00001706204,0.000008158278,0.00001826754,0.002216434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7446952,"threshold_uncertainty_score":0.6308094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0814960350732291,"score_gpt":0.2700516661802017,"score_spread":0.1885556311069726,"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."}}