{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335567,0.0004616488,0.0002273462,0.001107468,0.005815778,0.002276085,0.001235174,0.001321615,0.004758125],"category_scores_gemma":[0.001212826,0.0001468319,0.0004126464,0.003229074,0.001018467,0.0006367976,0.0006913534,0.0008652437,0.0003448205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05553631,"about_ca_system_score_gemma":0.06284449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943059,"about_ca_topic_score_gemma":0.9982333,"domain_scores_codex":[0.9992591,0.0001087585,0.00001866992,0.00006443755,0.0002448834,0.0003041025],"domain_scores_gemma":[0.9989741,0.0001905502,0.00004615133,0.00002455859,0.000596168,0.0001684292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001014394,0.001587153,0.2136676,0.004613656,0.0004519721,0.0629729,0.02200294,0.08335287,0.02524026,0.1261587,0.1362605,0.322677],"study_design_scores_gemma":[0.0002762594,0.0005439453,0.1783492,0.001714828,0.0004903528,0.004012269,0.1238395,0.05153691,0.01108974,0.005613033,0.6221244,0.0004095797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7647089,0.005504837,0.005319261,0.007770012,0.0001031225,0.0008324911,0.005472298,0.0001125949,0.2101765],"genre_scores_gemma":[0.9517134,0.003946568,0.006033089,0.0009422667,0.00001544069,0.0001157515,0.001232563,0.00003099854,0.03596984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05553631,"threshold_uncertainty_score":0.402946,"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."}}