{"id":"W4233152893","doi":"10.1111/conl.12705","title":"Subsidizing extinction?","year":2020,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Western Forest Products; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Subsidy; Incentive; Harm; Natural resource economics; Accountability; Biodiversity; Government (linguistics); Public economics; Business; Action (physics); Work (physics); Economics; Environmental planning; Environmental resource management; Political science; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002241196,0.0002176345,0.0003917989,0.0005806629,0.0009307514,0.002313596,0.000602473,0.002409644,0.02371755],"category_scores_gemma":[0.009554208,0.0001127975,0.0003302742,0.0003331184,0.003112862,0.003109276,0.001953997,0.003360134,0.0009979469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122946,"about_ca_system_score_gemma":0.001805762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275829,"about_ca_topic_score_gemma":0.002018292,"domain_scores_codex":[0.9988872,0.0004276879,0.00003599517,0.0001722883,0.0002354075,0.0002414133],"domain_scores_gemma":[0.9978423,0.001110224,0.0002578503,0.0001868351,0.0003638937,0.0002388003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004978798,0.00004555341,0.001281536,0.00009224632,0.0000154141,0.00008765556,0.0001424623,0.001874587,0.0002145069,0.9357105,0.03043175,0.03005411],"study_design_scores_gemma":[0.00006590855,0.00005604095,0.002538474,0.000286564,0.00002627403,0.0001630058,0.0002847839,0.004988565,0.0006039523,0.8217627,0.1692077,0.00001609825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07405933,0.009206944,0.02739951,0.2104404,0.002886586,0.00009412318,0.0004536844,0.0002731597,0.6751863],"genre_scores_gemma":[0.9293948,0.003126347,0.001816332,0.01941265,0.001185123,0.00007593988,0.00009386693,0.00006277585,0.04483221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02371755,"threshold_uncertainty_score":0.07934314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624033356003717,"score_gpt":0.2008509138346565,"score_spread":0.03844757823428482,"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."}}