{"id":"W4390080843","doi":"10.20944/preprints202312.1520.v1","title":"Satellite-Derived Estimate City-Level Methane Emission Flux from Calgary, Alberta, Canada","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Goddard Space Flight Center; Government of Canada; National Aeronautics and Space Administration","keywords":"Environmental science; Context (archaeology); Emission inventory; Satellite; Meteorology; Methane; Atmospheric sciences; Climatology; Air quality index; Geography; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003886428,0.0008035009,0.0007429201,0.00001599595,0.000207957,0.00002887359,0.00139595,0.0005655371,0.01477863],"category_scores_gemma":[0.0002113985,0.0008251049,0.0002353184,0.0001931235,0.0003257827,0.0001267597,0.007490753,0.001186661,0.0047878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195593,"about_ca_system_score_gemma":0.0002131196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9504594,"about_ca_topic_score_gemma":0.5470362,"domain_scores_codex":[0.9951568,0.0001784463,0.000785742,0.001998043,0.001029011,0.0008519913],"domain_scores_gemma":[0.9968818,0.0002392592,0.0004304018,0.001841727,0.000009927687,0.0005969301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004983015,0.0000913113,0.93016,0.00003595075,0.0001273276,0.00009658388,0.0005548792,0.05051391,0.01471559,0.000003488576,0.0004021598,0.00324896],"study_design_scores_gemma":[0.0003195421,0.00001060177,0.9643975,0.0001078022,0.0001112864,0.000005173659,0.00008820921,0.01050253,0.01400124,0.001830841,0.007715502,0.0009097563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856029,0.00005666514,0.002221239,0.000567645,0.001119621,0.000668632,0.00008024575,0.000196955,0.009486171],"genre_scores_gemma":[0.937036,0.0003159195,0.009619406,0.000389217,0.0001087408,0.0001418523,0.0006109483,0.0001731714,0.05160469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4034233,"threshold_uncertainty_score":0.99942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0728431676251921,"score_gpt":0.2890281858958653,"score_spread":0.2161850182706732,"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."}}