{"id":"W4416132522","doi":"10.26434/chemrxiv-2025-t75m9-v2","title":"Source category attribution of methane emissions in Calgary using Positive Matrix Factorization (PMF)","year":2025,"lang":"","type":"article","venue":"ChemRxiv","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Government of Canada","keywords":"Natural gas; Methane emissions; Methane; Trace gas; Biomass burning; Combustion; Greenhouse gas; Factorization","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":[0.0005666359,0.0007283769,0.0002619689,0.001577192,0.0005514399,0.0007911006,0.0004363356,0.0004755417,0.001389782],"category_scores_gemma":[0.001725634,0.0001660803,0.0007391403,0.001372062,0.0002759523,0.0003598232,0.0006043688,0.0004572202,0.0003089675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335615,"about_ca_system_score_gemma":0.00237164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6267137,"about_ca_topic_score_gemma":0.5054569,"domain_scores_codex":[0.9996821,0.00004597161,0.00001193467,0.0001024912,0.0000600789,0.00009754789],"domain_scores_gemma":[0.9996772,0.0001009824,0.00004946514,0.00002931652,0.0001121622,0.00003094776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004996808,0.0001442226,0.6148065,0.0001795057,0.0004453322,0.000642769,0.0005982199,0.2024486,0.01001993,0.003278436,0.01847667,0.1484601],"study_design_scores_gemma":[0.00004741962,0.00003230611,0.3723054,0.00004650173,0.00006268087,0.00008414443,0.0005544161,0.615003,0.002458725,0.002740249,0.006607356,0.00005774587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525984,0.001089975,0.02880218,0.0007678447,0.0001423082,0.00009352929,0.01212045,0.001246145,0.003139176],"genre_scores_gemma":[0.974152,0.0002632946,0.01441307,0.00006724202,0.00004174484,0.00002696226,0.00975001,0.00006254599,0.001223211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3732863,"threshold_uncertainty_score":0.7509693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066209066725216,"score_gpt":0.251636823790528,"score_spread":0.2409747331232759,"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."}}