{"id":"W6884440900","doi":"10.1021/es0629110.s001","title":"Embodied Environmental Emissions\\nin U.S. International Trade,\\n1997−2004","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Work (physics); Embodied cognition; Currency; Volume (thermodynamics); Trade volume; Emissions trading","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":[],"consensus_categories":[],"category_scores_codex":[0.0002566529,0.0007881656,0.0002441616,0.0007544312,0.0005119626,0.002317712,0.0007772789,0.0005288069,0.01117631],"category_scores_gemma":[0.0006885257,0.0004141826,0.0007350707,0.002075874,0.0002892858,0.001221445,0.0005169503,0.0006829746,0.002018048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005745508,"about_ca_system_score_gemma":0.003509032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1986884,"about_ca_topic_score_gemma":0.2523662,"domain_scores_codex":[0.9997255,0.00003048862,0.00001287658,0.00004879856,0.0001552835,0.00002697487],"domain_scores_gemma":[0.9998106,0.0000434625,0.00004523446,0.00001906974,0.00007036342,0.00001122443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003882262,0.0003307255,0.1137222,0.0009160706,0.0005534832,0.0007769334,0.0003640197,0.5178414,0.00308422,0.126533,0.0995432,0.1359465],"study_design_scores_gemma":[0.0001209838,0.0002250766,0.1162487,0.000536214,0.0003769517,0.0004802343,0.001170567,0.1844491,0.009439351,0.0402196,0.6465518,0.0001814143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3738425,0.007774389,0.02615308,0.003420886,0.001188183,0.0002184,0.1429109,0.0006699633,0.4438218],"genre_scores_gemma":[0.715063,0.0138991,0.01216745,0.0006161703,0.0001161683,0.0002236993,0.1046624,0.0001878126,0.1530642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1986884,"threshold_uncertainty_score":0.3950638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337433462934796,"score_gpt":0.234962216788848,"score_spread":0.2215878821595,"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."}}