{"id":"W3161612924","doi":"10.1111/csp2.450","title":"Treatment of climate change in extinction risk assessments and recovery plans for threatened species","year":2021,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Threatened species; Climate change; Extinction (optical mineralogy); Biodiversity; Vulnerability (computing); Environmental resource management; Habitat; Population; Ecology; Geography; Environmental science; Biology; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01958206,0.0004183011,0.0003436625,0.002792272,0.001792844,0.002201864,0.001478367,0.0006788439,0.003481333],"category_scores_gemma":[0.06074883,0.0002817712,0.0007111988,0.002126294,0.001018858,0.002016431,0.002314254,0.001268793,0.0002260558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007324761,"about_ca_system_score_gemma":0.009197547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0554736,"about_ca_topic_score_gemma":0.1371349,"domain_scores_codex":[0.9871628,0.008156191,0.0006801529,0.0005572197,0.002725815,0.0007178779],"domain_scores_gemma":[0.9486353,0.02628229,0.01064204,0.002476011,0.0102765,0.001687738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003988345,0.0004037506,0.4792553,0.0008329262,0.0004933047,0.000508329,0.007154242,0.1337936,0.002197027,0.01453432,0.007331562,0.3530969],"study_design_scores_gemma":[0.0001006774,0.0008707176,0.690847,0.0013654,0.0003651326,0.000395834,0.01321893,0.2242903,0.003993832,0.02996286,0.03430781,0.0002815857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8431283,0.00202152,0.08885676,0.007300863,0.0001939371,0.002154744,0.00282353,0.0003763754,0.053144],"genre_scores_gemma":[0.9785393,0.0004119996,0.01924413,0.0002632034,0.00003546366,0.0003449882,0.0004783171,0.00001872297,0.0006638163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0554736,"threshold_uncertainty_score":0.1103014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315140926277393,"score_gpt":0.3685022037084431,"score_spread":0.2369881110807037,"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."}}