{"id":"W3046315610","doi":"10.3390/atmos11080810","title":"Achieving Carbon Neutrality for A Future Large Greenhouse Gas Emitter in Quebec, Canada: A Case Study","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Greenhouse gas; Carbon neutrality; Carbon offset; Liquefied natural gas; Natural gas; Fossil fuel; Environmental science; Pledge; Natural resource economics; Portfolio; Climate change; Renewable energy; Environmental economics; Business; Waste management; Engineering; Economics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001961159,0.0002165684,0.0002419778,0.000001108179,0.0001219169,0.00002729652,0.0001890043,0.00007362317,0.0004979292],"category_scores_gemma":[0.0000360076,0.0001979556,0.00006240854,0.0001903882,0.00004913179,0.0001819188,0.0002178373,0.000225342,0.000005650984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009449817,"about_ca_system_score_gemma":0.00006425216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958082,"about_ca_topic_score_gemma":0.9974678,"domain_scores_codex":[0.998421,0.0001183884,0.0002675347,0.0004607103,0.0002301275,0.0005022151],"domain_scores_gemma":[0.9993452,0.00003936526,0.0000588515,0.0003050572,0.000003501452,0.0002479818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005112931,0.0002641337,0.9843377,0.0000293354,0.00001124977,0.001945779,0.009853903,0.0003744186,0.00005200265,0.000001700558,0.001308627,0.001770021],"study_design_scores_gemma":[0.001675442,0.0002701629,0.8916338,0.000005009254,0.00002824029,0.00004667902,0.09529063,0.001770026,0.0000445045,0.00001404031,0.008822449,0.0003989965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995653,0.00005529933,0.00001342813,0.002814524,0.00006236968,0.001082281,0.00001395532,0.00003136648,0.0002737574],"genre_scores_gemma":[0.9980119,0.000002412482,0.00009510815,0.001361281,0.0000937684,0.00006669298,0.000003519082,0.0000256943,0.0003396534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09270388,"threshold_uncertainty_score":0.8072395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008921645232447933,"score_gpt":0.2275157025464082,"score_spread":0.2185940573139603,"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."}}