{"id":"W2396228150","doi":"10.1111/conl.12266","title":"Timing of Protection of Critical Habitat Matters","year":2016,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Threatened species; Habitat; Critical habitat; Environmental resource management; Process (computing); Endangered species; Ecology; Business; Environmental planning; Geography; Environmental science; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001072684,0.00003797516,0.00006327745,0.00002242796,0.00003710068,0.000001191696,0.00004960544,0.00001678376,0.0005375714],"category_scores_gemma":[0.0001112083,0.00002904217,0.00001785814,0.00005975959,0.0003702731,0.0001360734,0.00004825415,0.00001678928,0.00005366417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002517958,"about_ca_system_score_gemma":0.000001120149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003712304,"about_ca_topic_score_gemma":0.00006182238,"domain_scores_codex":[0.9996144,0.00002531346,0.0001242876,0.00008835394,0.00007404173,0.0000735906],"domain_scores_gemma":[0.9997665,0.00008918709,0.00005546661,0.00007272296,0.000006609684,0.000009523491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002018095,0.00003599775,0.4778538,0.0000528399,0.00001445043,9.762171e-7,0.0001369693,0.00001753233,0.3411926,0.0003395884,0.1795068,0.0008282437],"study_design_scores_gemma":[0.0002117276,0.00003509062,0.984757,0.00002739689,0.000013281,5.801105e-7,0.00003507744,0.00007208176,0.01219566,0.0003294648,0.002263902,0.00005874586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778898,8.26334e-7,0.02130436,0.1999373,0.00008086649,0.0001102483,0.000001255446,0.00001229289,0.0006630418],"genre_scores_gemma":[0.9881091,0.00000131547,0.0009691308,0.01079312,0.000005153449,0.00001732392,3.276737e-7,0.000002697577,0.0001018945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5069032,"threshold_uncertainty_score":0.588603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190352957377423,"score_gpt":0.2294733549586923,"score_spread":0.2075698253849181,"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."}}