{"id":"W2119912816","doi":"10.1038/517145b","title":"Pollution: Uncouple from economy boom","year":2015,"lang":"en","type":"letter","venue":"Nature","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Boom; Pollution; Natural resource economics; Environmental science; Economics; Ecology; Environmental engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.007761135,0.0006633783,0.001103803,0.0007107482,0.00627337,0.00759546,0.002081245,0.08464476,0.01031043],"category_scores_gemma":[0.04422714,0.0005538611,0.001568787,0.0007026149,0.009008497,0.01240973,0.005329323,0.06093284,0.005805804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005797855,"about_ca_system_score_gemma":0.009317272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014282,"about_ca_topic_score_gemma":0.01454249,"domain_scores_codex":[0.9938881,0.001505577,0.0005688784,0.001140387,0.001724585,0.001172609],"domain_scores_gemma":[0.9855305,0.009329029,0.0008896883,0.0008694749,0.001735127,0.001646193],"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":[0.00004875781,0.0000387526,0.0007563315,0.00005756767,0.00001911852,0.0009169184,0.0003336855,0.00007595963,0.0001326308,0.03791747,0.9477486,0.01195428],"study_design_scores_gemma":[0.00009010435,0.00004052851,0.001623821,0.000322481,0.00002189181,0.000764308,0.00103075,0.0003834414,0.0003003003,0.0719362,0.9234288,0.00005742323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002567658,0.0006491735,0.00009210149,0.9914663,0.004106776,0.000004297784,0.00002146178,0.000009100776,0.003393976],"genre_scores_gemma":[0.004587621,0.000552348,0.0001201051,0.9800835,0.01019068,0.00001594775,0.00001352132,0.00001890062,0.004417375],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08464476,"threshold_uncertainty_score":0.04206651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660089614325403,"score_gpt":0.1946963850478241,"score_spread":0.1780954889045701,"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."}}