{"id":"W2003718826","doi":"10.1525/cond.2009.090002","title":"Probability of Detection of Nests and Implications for Survey Design","year":2009,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service","keywords":"Sandpiper; Calidris; Nest (protein structural motif); Breed; Biology; Sampling (signal processing); Statistics; Ecology; Mathematics; Predation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.342363,0.001352294,0.002117001,0.002698461,0.002001304,0.003501227,0.004991443,0.003515295,0.002358818],"category_scores_gemma":[0.7494869,0.001750443,0.002304433,0.003570217,0.005605458,0.005007452,0.003160445,0.003060101,0.0005415843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004877531,"about_ca_system_score_gemma":0.003866356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008306841,"about_ca_topic_score_gemma":0.00714634,"domain_scores_codex":[0.4942871,0.436239,0.01628268,0.02164495,0.02900416,0.002542279],"domain_scores_gemma":[0.1096432,0.8319336,0.0256127,0.01922601,0.0118554,0.001728961],"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":[0.003779861,0.0006638593,0.6817365,0.001921486,0.001260292,0.0007272089,0.004484973,0.04999024,0.002593009,0.01890629,0.007657997,0.2262782],"study_design_scores_gemma":[0.000579244,0.006313668,0.6594399,0.001421007,0.0006662084,0.001733975,0.001740335,0.2753623,0.004582645,0.03680751,0.01097175,0.0003814912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2025374,0.002859256,0.7704082,0.007536225,0.001125745,0.004597729,0.001104949,0.001154501,0.008676022],"genre_scores_gemma":[0.7178925,0.0005163937,0.2737184,0.002323244,0.0003980849,0.003566518,0.0003263404,0.0001980052,0.001060409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.342363,"threshold_uncertainty_score":0.8109835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07942641227989607,"score_gpt":0.298683462621335,"score_spread":0.2192570503414389,"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."}}