{"id":"W2995329444","doi":"10.1111/conl.12696","title":"Growth‐inducing infrastructure represents transformative yet ignored keystone environmental decisions","year":2019,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; University of Northern British Columbia","funders":"","keywords":"Sustainability; Environmental resource management; Business; Legislation; Anthropocene; Environmental planning; Unintended consequences; Ecological footprint; Process (computing); Climate change; Natural resource economics; Environmental economics; Economics; Computer science; Ecology; Environmental science; Political science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002371626,0.0002277592,0.0001981669,0.00005235954,0.0001862625,0.00004293424,0.0002713382,0.00009839486,0.005749953],"category_scores_gemma":[0.00009017118,0.0002160516,0.0001009862,0.000197411,0.0003037786,0.0009340936,0.0001579242,0.0002380731,0.001051323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006372957,"about_ca_system_score_gemma":0.000009207498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003366529,"about_ca_topic_score_gemma":0.00001749575,"domain_scores_codex":[0.9982571,0.0001148072,0.0003516622,0.0004306815,0.0004742886,0.0003714652],"domain_scores_gemma":[0.9991547,0.0001424879,0.000119135,0.0004301994,0.000003329837,0.0001501239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003992077,0.00005409604,0.8353317,0.000006422205,0.00001591958,0.000006153617,0.001822883,0.001187985,0.1522308,0.00001933369,0.007650604,0.00163419],"study_design_scores_gemma":[0.000731818,0.00004469617,0.9872299,0.00001407783,0.00001402712,0.00001100366,0.001371418,0.0009911044,0.006041293,0.0004916002,0.002784046,0.0002749645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922408,0.00000710453,0.00120163,0.003888943,0.0001784134,0.0006142982,0.00002734384,0.00004690464,0.001794502],"genre_scores_gemma":[0.9918804,0.0000123932,0.00107071,0.006528422,0.00001704191,0.00002234664,0.00008577343,0.00002123078,0.0003617506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1518983,"threshold_uncertainty_score":0.9997265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005413565023851529,"score_gpt":0.2032321014128328,"score_spread":0.1978185363889813,"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."}}