{"id":"W6931844859","doi":"10.5683/sp3/kt1dg5","title":"Data For: Where do they come from, where do they go? Emissions and fate of OPEs in global megacities","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Heat Transfer and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; University of British Columbia","funders":"","keywords":"Megacity; Air pollution; Urban area; Urbanization; Mega-","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003868459,0.0003529346,0.0007362497,0.00007473106,0.00007079526,0.00007159455,0.001009135,0.0002657584,0.0006474429],"category_scores_gemma":[0.0001130556,0.0003116685,0.00008407962,0.0001205135,0.00005637722,0.0001438231,0.0003149675,0.0004054921,6.897956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007582199,"about_ca_system_score_gemma":0.0000541235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07110502,"about_ca_topic_score_gemma":0.06884725,"domain_scores_codex":[0.9982971,0.0001945874,0.0004763188,0.0004383803,0.0002593381,0.0003342878],"domain_scores_gemma":[0.9980976,0.0004367442,0.00003402531,0.001251889,0.00002523371,0.0001545165],"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":[0.00004142254,0.00003151151,0.0001226054,0.0006095819,0.0001353515,0.00001370269,0.0001624807,0.0001282069,0.00002147369,0.0001344858,0.993049,0.005550145],"study_design_scores_gemma":[0.0004438174,0.00005157724,0.0004594521,0.000263484,0.0001221884,0.000003818463,0.0002561736,0.00009848195,0.000009694124,0.003193377,0.9947593,0.0003386992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001200402,0.00848593,0.0004399851,0.00009374273,0.0001953606,0.0003385561,0.9892945,0.00006478416,0.0009670675],"genre_scores_gemma":[0.0003169078,0.01033987,0.001661242,0.00002154588,0.00008984395,0.00007976253,0.9874398,0.00004322533,0.000007793124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005211446,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03778443854763668,"score_gpt":0.3167799216416194,"score_spread":0.2789954830939828,"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."}}