{"id":"W2942541456","doi":"10.1111/ecog.04321","title":"Effect of detection heterogeneity in occupancy‐detection models: an experimental test of time‐to‐first‐detection methods","year":2019,"lang":"en","type":"article","venue":"Ecography","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"University of Canberra; NSW Office of Environment and Heritage","keywords":"Occupancy; Goodness of fit; Statistics; Computer science; Econometrics; Ecology; Mathematics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.05940206,0.001472555,0.001599947,0.0007475719,0.0009357905,0.001593692,0.003006649,0.003515054,0.002780973],"category_scores_gemma":[0.1857517,0.001325048,0.003971447,0.0005754558,0.002949408,0.004107886,0.003086452,0.004715558,0.0004373909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700106,"about_ca_system_score_gemma":0.001187148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00352314,"about_ca_topic_score_gemma":0.00179578,"domain_scores_codex":[0.9621949,0.02416015,0.003502183,0.006524455,0.00265218,0.0009662334],"domain_scores_gemma":[0.5047629,0.4454291,0.01671866,0.02673459,0.005044202,0.001310514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.07928862,0.02167758,0.2170802,0.003864902,0.009019253,0.0008977512,0.007481728,0.4278123,0.1173495,0.02099508,0.002585754,0.09194736],"study_design_scores_gemma":[0.002766461,0.05651319,0.09380817,0.0004211676,0.002049855,0.0005190813,0.0009751771,0.7858617,0.03421808,0.01820455,0.004094425,0.0005681438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279501,0.0004046916,0.06827906,0.0003123837,0.0001761657,0.0008419669,0.0004410039,0.0001732817,0.001421264],"genre_scores_gemma":[0.9574097,0.0001467256,0.03800713,0.0004949605,0.00008116832,0.002068739,0.0007799795,0.0002040202,0.0008074966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05940206,"threshold_uncertainty_score":0.3141519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782735961357127,"score_gpt":0.2704486299462078,"score_spread":0.2616658939848507,"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."}}