{"id":"W4206341974","doi":"10.1111/2041-210x.13770","title":"Predicting the optimal amount of time to spend learning before designating protected habitat for threatened species","year":2022,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Council; University of Queensland; Wilburforce Foundation","keywords":"Threatened species; Habitat; Extinction (optical mineralogy); Phascolarctos cinereus; Habitat destruction; Ecology; Range (aeronautics); Endangered species; Environmental resource management; Biology; Environmental science; Population; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002718621,0.00006674515,0.0001241834,0.00004974113,0.0005925342,0.000004147234,0.0001031848,0.00005978525,0.000443915],"category_scores_gemma":[0.0007867769,0.0000579256,0.00002244657,0.0002180377,0.0001363704,0.00007705238,0.0001978923,0.0001985008,0.000005836911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093908,"about_ca_system_score_gemma":0.00001524547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006213847,"about_ca_topic_score_gemma":0.0002933188,"domain_scores_codex":[0.9985815,0.0007821396,0.0001984877,0.0001880912,0.0000655277,0.0001842033],"domain_scores_gemma":[0.9992092,0.0005828735,0.0001144696,0.0000663605,0.000009809969,0.00001728734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001337403,0.00002586208,0.9374735,0.000004827167,0.000007937072,4.253784e-7,0.0009352225,0.05039138,0.007368366,0.0001254892,0.00007071708,0.003462476],"study_design_scores_gemma":[0.0002254719,0.0004923284,0.9261282,0.00000324438,0.00001200335,0.000006626838,0.0005511968,0.06954983,0.0002331259,0.002559406,0.0001868367,0.00005174118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958736,0.0000142357,0.0394384,0.0008050767,0.00007748557,0.0006386925,0.000002594723,0.00001687579,0.0002706504],"genre_scores_gemma":[0.8665439,7.199118e-7,0.1323099,0.000118303,0.00001919797,0.000396111,0.000004403251,0.000005934323,0.0006016006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09287146,"threshold_uncertainty_score":0.4860558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533542869653517,"score_gpt":0.291304543914703,"score_spread":0.2659691152181678,"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."}}