{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009313493,0.0001543012,0.0002466425,0.0002546241,0.00006925006,0.000006475844,0.0001314134,0.0001542659,0.0003459282],"category_scores_gemma":[0.00004491183,0.0001565874,0.0001226562,0.0007571816,0.00007891349,0.0004395482,0.00006006614,0.0001195915,0.0001337652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944994,"about_ca_system_score_gemma":0.00000322202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000447543,"about_ca_topic_score_gemma":0.001092216,"domain_scores_codex":[0.9986049,0.0003776724,0.0003126647,0.0003632914,0.0001524901,0.0001890045],"domain_scores_gemma":[0.9992903,0.0002000019,0.0001621916,0.0002766897,0.00001057396,0.00006021733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002393148,0.0001536417,0.3575442,0.00001666136,0.000009756393,1.932557e-7,0.0001422987,0.003419621,0.6174224,3.008327e-7,0.000002368279,0.02104926],"study_design_scores_gemma":[0.0003484143,0.002011904,0.3478886,0.000008395735,0.00001062003,0.000002147432,0.0000170638,0.01750859,0.6320392,0.00004290411,0.00002300929,0.00009914215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949576,0.00002119058,0.003706038,0.000006478078,0.0002048898,0.0005664927,0.000003741356,0.00003991567,0.0004936694],"genre_scores_gemma":[0.9990832,0.00000261285,0.0007542862,0.00003025975,0.00001529342,0.00008330475,0.000002641476,0.00001350419,0.00001489299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02095012,"threshold_uncertainty_score":0.6385448,"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."}}