{"id":"W2059787362","doi":"10.1007/bf02978789","title":"Inventory for energy production in Canada","year":2001,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Production (economics); Scope (computer science); Context (archaeology); Electricity; Relevance (law); Coal; Life cycle inventory; Unit (ring theory); Environmental science; Natural gas; Environmental economics; Life-cycle assessment; Computer science; Engineering; Economics; Waste management; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004276504,0.0007007585,0.0005910858,0.006798613,0.00187643,0.002163221,0.001265931,0.00031246,0.006201477],"category_scores_gemma":[0.001322616,0.0005014878,0.000936355,0.01254604,0.0003465523,0.0008332848,0.0004807614,0.0005621401,0.0009860219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0657386,"about_ca_system_score_gemma":0.07124124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976045,"about_ca_topic_score_gemma":0.9982086,"domain_scores_codex":[0.9992586,0.00002348714,0.00003672373,0.00006968587,0.0004910445,0.0001204972],"domain_scores_gemma":[0.9983773,0.00006645179,0.00005342643,0.00004421581,0.001366509,0.00009196411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001090168,0.0003969261,0.2834288,0.001369567,0.001210339,0.0009602145,0.001423926,0.270354,0.006662846,0.02806257,0.1030001,0.3020405],"study_design_scores_gemma":[0.0001055922,0.00009848447,0.4462482,0.0004571569,0.0003707744,0.0002222249,0.002265376,0.1686891,0.008162851,0.003827913,0.3693292,0.0002229979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.453859,0.004863905,0.007800724,0.001283368,0.000151383,0.000472373,0.4755508,0.0009408369,0.05507757],"genre_scores_gemma":[0.7831625,0.005270719,0.01315287,0.000233186,0.00002604256,0.0002234322,0.1255077,0.0002139284,0.07220969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0657386,"threshold_uncertainty_score":0.4769692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132250730511104,"score_gpt":0.2699354653059793,"score_spread":0.2586129580008683,"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."}}