{"id":"W6950702930","doi":"10.5683/sp3/5cvwgv","title":"Multi-Year Methane and Carbon Dioxide Concentrations from Mobile Surveys in Alberta, Canada (2021–2024): A Greenhouse Gas Emission Dataset","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Anemometer; Greenhouse gas; Methane; Global Positioning System; Gas analyzer; Natural gas; Calibration; Truck; Liquefied natural gas","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000651556,0.00139002,0.0007911843,0.003640076,0.001278214,0.001438859,0.0020764,0.000917469,0.004243219],"category_scores_gemma":[0.00140591,0.0004237248,0.0007490056,0.008927604,0.0004140113,0.0004258848,0.0009421943,0.0008976446,0.002372401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132072,"about_ca_system_score_gemma":0.01811455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746034,"about_ca_topic_score_gemma":0.9862812,"domain_scores_codex":[0.9992862,0.00003651263,0.00003491896,0.0001379997,0.0003290204,0.0001753584],"domain_scores_gemma":[0.9978531,0.00008348153,0.0001389104,0.0001177057,0.001599781,0.0002069905],"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":[0.0006032275,0.0002950788,0.2690425,0.001624314,0.0007535365,0.0005996624,0.0004649793,0.0178763,0.003488712,0.001724282,0.6611737,0.04235375],"study_design_scores_gemma":[0.0001930698,0.00005578506,0.5872578,0.0004270737,0.0001800194,0.0001665082,0.001369891,0.01001588,0.002192471,0.0005461983,0.3974033,0.0001919849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02078768,0.0004594965,0.0003724811,0.0001354142,0.00003434226,0.00004616244,0.9758415,0.0002222792,0.002100548],"genre_scores_gemma":[0.02641895,0.0003269568,0.00137586,0.00006849794,0.00001416198,0.00006251862,0.9696586,0.00003237132,0.002042016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02539665,"threshold_uncertainty_score":0.09582543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505276260370159,"score_gpt":0.2315282963732123,"score_spread":0.2164755337695107,"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."}}