{"id":"W2046528435","doi":"10.1021/es060082c","title":"Economic Input−Output Life-Cycle Assessment of Trade Between Canada and the United States","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Carnegie Mellon University","keywords":"Greenhouse gas; Life-cycle assessment; Natural resource economics; Energy intensity; Economics; Resource (disambiguation); Input–output model; Fossil fuel; Goods and services; Production (economics); Consumption (sociology); Manufacturing; Electricity; Agricultural economics; Business; International trade; Energy consumption; Economy; Engineering; Macroeconomics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001463423,0.0002201426,0.0002882907,0.0001783171,0.0004183652,0.00002149075,0.0007517987,0.0001042256,0.0003530531],"category_scores_gemma":[0.00004736665,0.0001653668,0.0000416697,0.000570812,0.01014743,0.0002454171,0.0008760602,0.0002866467,0.00001114789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149859,"about_ca_system_score_gemma":0.00009525539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1266188,"about_ca_topic_score_gemma":0.05277607,"domain_scores_codex":[0.9978133,0.00005237658,0.0004432711,0.0005034601,0.0005145104,0.00067306],"domain_scores_gemma":[0.9988887,0.0001545023,0.000193222,0.0005060447,9.023975e-7,0.0002566639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001844189,0.00006222255,0.9862781,0.000003475988,0.0000125117,0.000005136025,0.0002832797,0.003080555,0.002145423,0.0004201072,0.00006085915,0.007629842],"study_design_scores_gemma":[0.0007216676,0.0001102252,0.9831995,0.000002718476,0.00001980014,0.0000103148,0.002691813,0.00188329,0.005814196,0.001387388,0.003952053,0.0002070407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961332,0.00003739763,0.0002769624,0.00201891,0.00005950039,0.0003837531,0.00002894467,0.00002900852,0.001032301],"genre_scores_gemma":[0.9990762,0.00006618522,0.0003908142,0.0003561849,0.00001341473,0.00001076962,0.00001139177,0.00001244761,0.00006252468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07384279,"threshold_uncertainty_score":0.9925464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004137325881423452,"score_gpt":0.2258426893663922,"score_spread":0.2217053634849687,"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."}}