{"id":"W4410929767","doi":"10.1111/cobi.70073","title":"Exploring gaps, biases, and research priorities in the evidence for reptile conservation actions","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Imperial College London; Cambridge Philosophical Society; MAVA Foundation; Arcadia Fund","keywords":"Conservation science; Geography; Environmental resource management; Ecology; Environmental planning; Biology; Environmental science; Biodiversity","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":[0.00106822,0.00005585396,0.00007223061,0.00006975952,0.0002824605,0.00003990727,0.0001293142,0.00005091458,0.0006754322],"category_scores_gemma":[0.001868547,0.00004545217,0.00001713542,0.0004848314,0.0003454377,0.0002432718,0.00007775855,0.00009945802,0.00002446245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924662,"about_ca_system_score_gemma":0.00002861408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737361,"about_ca_topic_score_gemma":0.002896409,"domain_scores_codex":[0.9991886,0.0001889008,0.0001654003,0.0002045147,0.00007729472,0.0001752914],"domain_scores_gemma":[0.9978004,0.001943656,0.00003472683,0.0001605438,0.00004477088,0.00001596707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054276,0.00005468854,0.7852529,0.00004247925,0.000006626059,7.570288e-7,0.001144781,0.000003512165,0.02101025,0.1326443,0.05422237,0.005511888],"study_design_scores_gemma":[0.000216448,0.00005004747,0.7517232,0.00004722915,0.000003786441,0.000001614505,0.006486677,0.000227053,0.0007414811,0.00168705,0.2387607,0.00005467844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721205,0.0002348852,0.0001797956,0.02447387,0.0001322963,0.0004172323,0.00002225983,0.00002023133,0.002398946],"genre_scores_gemma":[0.9951942,0.001054916,0.0000873396,0.002599264,0.00001905568,0.0006369328,0.00006256297,0.000002683149,0.000343033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845384,"threshold_uncertainty_score":0.7395509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6896183972364377,"score_gpt":0.4647628609244207,"score_spread":0.224855536312017,"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."}}