{"id":"W2002567416","doi":"10.1002/ece3.906","title":"Lincoln estimates of mallard (<i><scp>A</scp>nas platyrhynchos</i>) abundance in <scp>N</scp>orth <scp>A</scp>merica","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Abundance (ecology); Range (aeronautics); Wildlife; Population; Aerial survey; Geography; Anas; Biology; Juvenile; Wildlife refuge; Ecology; Mark and recapture; Demography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004995284,0.0003788571,0.0005788637,0.0001931544,0.0004832472,0.00002876139,0.000368108,0.0004354109,0.0001905049],"category_scores_gemma":[0.001666838,0.0003822902,0.00009005524,0.0004736662,0.001057693,0.0005808591,0.0006384077,0.0004093626,0.001089595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445065,"about_ca_system_score_gemma":0.00004226833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005270803,"about_ca_topic_score_gemma":0.005999736,"domain_scores_codex":[0.9974034,0.0001579738,0.0005731473,0.0007397974,0.000229373,0.0008963419],"domain_scores_gemma":[0.9974815,0.001621428,0.000370219,0.0003362481,0.00003984549,0.0001507525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003445232,0.0003115455,0.8261706,0.00005925971,0.0000691336,0.00001230588,0.0009027748,0.001033155,0.0004525673,0.0004973794,0.1702789,0.0002089475],"study_design_scores_gemma":[0.0006788908,0.0003707426,0.9579445,0.00002709405,0.00006242982,0.00001516137,0.001702278,0.001651622,0.0001823758,0.00580641,0.0314952,0.00006336563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959488,0.0006484821,0.0003161682,0.0003210886,0.0005842863,0.000798792,0.0000117562,0.0001001578,0.03773125],"genre_scores_gemma":[0.989291,0.0008472452,0.001862843,0.0009440313,0.00007556746,0.0003092947,0.00002520224,0.00002712535,0.006617712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1387837,"threshold_uncertainty_score":0.9998629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005799913531212841,"score_gpt":0.1999977264082694,"score_spread":0.1941978128770566,"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."}}