{"id":"W2846965669","doi":"10.1016/j.tree.2018.06.004","title":"Overcoming the Data Crisis in Biodiversity Conservation","year":2018,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Environment Research Council; Sight Research UK; Marine Alliance for Science and Technology for Scotland; National Science Foundation","keywords":"Biodiversity; Biodiversity conservation; Business; Environmental resource management; Geography; Environmental science; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2049819,0.001535604,0.003923116,0.01068049,0.005571729,0.01761713,0.008449505,0.01354823,0.01333709],"category_scores_gemma":[0.4436969,0.002620767,0.001750462,0.01270977,0.02502705,0.08118023,0.01734516,0.02988575,0.004391173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007531557,"about_ca_system_score_gemma":0.01672205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055598,"about_ca_topic_score_gemma":0.007195388,"domain_scores_codex":[0.9086522,0.0550863,0.006215816,0.01044396,0.01788465,0.001717027],"domain_scores_gemma":[0.39836,0.4705776,0.02136024,0.05098554,0.0444419,0.01427475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005278719,0.0001926408,0.01400108,0.003659263,0.0004531181,0.0005234741,0.004695644,0.005007443,0.0005282169,0.2902543,0.3324043,0.3477527],"study_design_scores_gemma":[0.0001078413,0.0000938647,0.003257798,0.003520205,0.00009057319,0.0004407626,0.003881473,0.004222832,0.0002285802,0.6113873,0.372584,0.0001847091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004611423,0.04051037,0.04491983,0.8921405,0.005581009,0.000120167,0.002487254,0.0005090081,0.009120539],"genre_scores_gemma":[0.2607295,0.1004231,0.2575422,0.3248133,0.03690153,0.002121463,0.008329386,0.00158187,0.007557625],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2049819,"threshold_uncertainty_score":0.9803989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06539701760278399,"score_gpt":0.291798200951684,"score_spread":0.2264011833489,"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."}}