{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335399,0.00005246902,0.0001044081,0.00001170519,0.00009024326,0.000001946831,0.00009412389,0.00008034633,0.00004553128],"category_scores_gemma":[0.00008763074,0.00004255789,0.00002370561,0.0001684344,0.0002858149,0.00003530064,0.00002352215,0.00004180578,0.000007783685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001638776,"about_ca_system_score_gemma":0.000004386939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000113927,"about_ca_topic_score_gemma":0.00003056715,"domain_scores_codex":[0.9994667,0.00006174454,0.0001719304,0.0001808717,0.0000317151,0.00008699538],"domain_scores_gemma":[0.999455,0.0002265926,0.00009025083,0.0001689839,0.00002438236,0.00003477153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002053651,0.0002728036,0.8999448,0.000002335788,0.000001031194,1.478356e-8,0.00001081948,0.0000336077,0.0577636,0.000130062,0.00001919828,0.04180118],"study_design_scores_gemma":[0.00008552521,0.0001951483,0.9725348,5.194127e-7,0.00001223096,0.000003255193,0.000002459771,0.000003028117,0.005800607,0.02122631,0.00009366519,0.00004249913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7163929,0.000007504304,0.2825011,0.0001902843,0.000002863067,0.0007458082,0.00003058835,0.0000149391,0.0001140249],"genre_scores_gemma":[0.981332,0.000004390305,0.01821819,0.00003326448,0.000003354085,0.0003729797,0.000009884728,0.000001848229,0.0000240756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2649391,"threshold_uncertainty_score":0.173546,"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."}}