{"id":"W4299705251","doi":"10.1021/es072532m","title":"News Briefs: Montreal beats Kyoto on climate controls ` Bigger fish to fry? ` Asian pollution strengthens storms ` Snapping fluorocarbon superbonds ` New aerosol source ` Snapping fluorocarbon superbonds | New Jersey dives into PFOA water guidance | A potential new Crypto source | Bush expands influence over regulations | Pricing tomorrow's coal-fired power plant | A heavy-metal history in Peru | Aerosolized contaminants from biosolids | Snow shows perfluorochemical source","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Citation; Meteorology; Library science; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003870852,0.001144314,0.0005337908,0.001016389,0.001843859,0.002102177,0.0009004741,0.002746424,0.7251728],"category_scores_gemma":[0.001188818,0.0004620676,0.0004743347,0.001305104,0.0004144447,0.001322694,0.0009095429,0.001586056,0.407394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245356,"about_ca_system_score_gemma":0.002062767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03183392,"about_ca_topic_score_gemma":0.0995791,"domain_scores_codex":[0.9995551,0.00001329221,0.000009839619,0.00002853909,0.0003021202,0.00009109604],"domain_scores_gemma":[0.9991592,0.00008087363,0.00005434095,0.00004267829,0.0003941407,0.0002688173],"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":[0.00001901145,0.00002458777,0.0001116625,0.00005281971,0.00000139906,0.00005327064,0.00001602096,0.000008905279,0.0003358651,0.000201467,0.9879557,0.01121924],"study_design_scores_gemma":[0.000009991461,0.00001853287,0.00122552,0.00002409418,0.00000277536,0.00001943279,0.00004723597,0.00001520178,0.0002304115,0.00003743228,0.9983639,0.000005473074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002695061,0.002576373,0.0002932205,0.01856397,0.01233598,0.0003268498,0.008088284,0.001488621,0.9536316],"genre_scores_gemma":[0.00189429,0.00134155,0.0001211865,0.001954244,0.001012243,0.00005083971,0.001738638,0.0001511864,0.9917359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7251728,"threshold_uncertainty_score":0.3920076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296017660862185,"score_gpt":0.2074974834709539,"score_spread":0.194537306862332,"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."}}