{"id":"W2152091560","doi":"10.2193/2007-524","title":"Estimating Detection Probabilities of Waterfowl Broods From Ground‐Based Surveys","year":2009,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Delta Waterfowl; University of Minnesota","keywords":"Waterfowl; Brood; Anas; Replicate; Statistics; Population; Mark and recapture; Abundance (ecology); Evening; Ecology; Environmental science; Fishery; Biology; Mathematics; Demography; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292038,0.0001087079,0.000195733,0.00007503782,0.00008600541,0.00002209402,0.0002063863,0.00005248259,0.0002416635],"category_scores_gemma":[0.00005503713,0.00009338061,0.00008617618,0.0001559607,0.00007531202,0.0003182266,0.00004540391,0.0001202324,0.0000208602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503147,"about_ca_system_score_gemma":0.000008999759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265483,"about_ca_topic_score_gemma":0.00005063532,"domain_scores_codex":[0.9986101,0.0002274698,0.000533685,0.0001373906,0.0003366173,0.0001547344],"domain_scores_gemma":[0.9992267,0.00007881799,0.0004588098,0.0001595286,0.00002570742,0.00005044361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498247,0.0008081529,0.7095007,0.00007918988,0.0001913687,0.00004860536,0.0007338051,0.09548957,0.001843534,0.0001414453,0.006623079,0.1842907],"study_design_scores_gemma":[0.0006037728,0.0004064181,0.9847329,0.00005732166,0.00006256535,0.000004198174,0.0001072326,0.007764699,0.0005124941,0.004903201,0.0007414796,0.0001037387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460124,0.0000107714,0.05047801,0.001973776,0.0003258888,0.0001490683,0.000001343976,0.00001299698,0.001035779],"genre_scores_gemma":[0.9778854,0.000003631389,0.02042398,0.001463419,0.00009180255,0.000002879366,0.000002312449,0.000005537267,0.0001209893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2752322,"threshold_uncertainty_score":0.3807951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261381516351634,"score_gpt":0.221817855595305,"score_spread":0.2092040404317887,"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."}}