{"id":"W2886108464","doi":"10.1126/science.aau6992","title":"British Columbia's wildlife model reform","year":2018,"lang":"en","type":"letter","venue":"Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Victoria","funders":"","keywords":"Wildlife; Geography; Political science; Ecology; Biology","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":[0.01049477,0.0009103514,0.001807102,0.001768379,0.02297381,0.01499648,0.005435871,0.08364471,0.03315749],"category_scores_gemma":[0.03756407,0.001291069,0.001435972,0.001841543,0.006549777,0.00439203,0.004694302,0.04762517,0.005953069],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04303868,"about_ca_system_score_gemma":0.09042861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7609286,"about_ca_topic_score_gemma":0.8809437,"domain_scores_codex":[0.9890437,0.00153906,0.0005300119,0.0009496362,0.003653683,0.004283919],"domain_scores_gemma":[0.9811327,0.008202404,0.0005534807,0.001106467,0.005628854,0.003376206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002572333,0.00002238846,0.000489661,0.00001777558,0.000007246582,0.0001931984,0.0001972396,0.0001273337,0.00003350099,0.02255874,0.9729937,0.00333352],"study_design_scores_gemma":[0.00008404294,0.00001311407,0.001882962,0.0002791944,0.0000424367,0.00008126959,0.0007628051,0.0005639057,0.0001447735,0.01468728,0.9813883,0.0000699316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003454874,0.001582513,0.0002330097,0.8473943,0.01026934,0.00006610952,0.0007023359,0.00009616162,0.1362014],"genre_scores_gemma":[0.01958107,0.0007497864,0.0002726833,0.7879131,0.00402985,0.0001749195,0.000263812,0.00008814887,0.1869267],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9569613,"threshold_uncertainty_score":0.4809586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158500218512867,"score_gpt":0.2098746005420384,"score_spread":0.1982895983569098,"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."}}