{"id":"W4391886886","doi":"10.1016/j.mex.2024.102617","title":"Modelling & Spatial Mapping of Residential-Sector Emissions for Sub-National & Urban Areas","year":2024,"lang":"en","type":"article","venue":"MethodsX","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Science Foundation Ireland; Environmental Protection Agency","keywords":"Greenhouse gas; Baseline (sea); Sustainability; Environmental science; Climate change; Natural resource economics; Environmental protection; Environmental resource management; Business; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001215346,0.000113428,0.0001706851,0.00009415144,0.0001413654,0.00003521137,0.0001226126,0.00008059458,0.001549528],"category_scores_gemma":[0.0003130267,0.0001037639,0.00009742514,0.0002282572,0.00006388206,0.0001260982,0.00008247618,0.000110323,0.0001312555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588542,"about_ca_system_score_gemma":0.00004398242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008702556,"about_ca_topic_score_gemma":0.000237452,"domain_scores_codex":[0.9986863,0.00009219396,0.0003036478,0.0002845888,0.0003385373,0.0002947822],"domain_scores_gemma":[0.999081,0.0005094623,0.00007091069,0.0001592147,0.00002331942,0.0001560945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002870492,0.0003224319,0.01389784,0.002019157,0.0001121151,0.00001043498,0.02721005,0.0737502,0.4010688,0.002003431,0.4248424,0.05447619],"study_design_scores_gemma":[0.0007708339,0.0001031939,0.01114199,0.0008313673,0.000103192,0.00002199295,0.0001593006,0.2739675,0.01503836,0.0782352,0.6188782,0.0007489122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1438006,0.0003957579,0.8523864,0.000810795,0.0004242063,0.0003207635,0.0001149004,0.00005768409,0.001688907],"genre_scores_gemma":[0.350963,0.000222159,0.6428488,0.0004061357,0.0010361,0.0001118824,0.0001882394,0.00007272093,0.004150983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3860304,"threshold_uncertainty_score":0.9993632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2550171220047303,"score_gpt":0.4077053628595392,"score_spread":0.1526882408548089,"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."}}