{"id":"W3148289725","doi":"10.1111/csp2.427","title":"Imperfect detection biases extinction‐debt assessments","year":2021,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; University of Toronto; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Wetland; Biodiversity; Extinction (optical mineralogy); Extinction debt; Ecology; Ecosystem; Nestedness; Global biodiversity; Environmental science; Geography; Biology; Habitat destruction","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001559654,0.00006437567,0.00006152127,0.0000371761,0.0008291622,0.0001104456,0.00008296271,0.00002681154,0.0009285143],"category_scores_gemma":[0.005464659,0.0000621819,0.000009423477,0.000666426,0.0004250686,0.002157477,0.0002285349,0.00007161871,0.0002060623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008260142,"about_ca_system_score_gemma":0.00005156032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009900408,"about_ca_topic_score_gemma":0.0006452684,"domain_scores_codex":[0.9989938,0.0001164605,0.0001129359,0.0003106177,0.0003112543,0.0001549424],"domain_scores_gemma":[0.9988977,0.0007150888,0.00009030644,0.0001400925,0.0001125709,0.00004425858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002294393,0.0005099858,0.5497083,0.00003208853,0.00008785957,0.00009753338,0.00112961,0.0002004851,0.1952637,0.001845733,0.1027519,0.1481434],"study_design_scores_gemma":[0.0002293164,0.00007848556,0.7469403,0.000004616038,0.00004155795,0.00008247917,0.001275144,0.001329532,0.005996838,0.000395834,0.2434954,0.000130463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116868,0.0000401035,0.00204083,0.01569835,0.0004526229,0.0001482935,8.7022e-7,0.00005193931,0.1698803],"genre_scores_gemma":[0.9820464,0.0002595937,0.001510359,0.01456851,0.0000212748,0.00002366107,0.000001781356,0.000003199584,0.001565182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972321,"threshold_uncertainty_score":0.9999848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05206375857689469,"score_gpt":0.3407628882287217,"score_spread":0.288699129651827,"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."}}