{"id":"W6958638064","doi":"10.6084/m9.figshare.29586437.v1","title":"Mobile Mapping of Urban Methane Emissions in Montreal (2019–2024)","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Methane emissions; Plume; Inversion (geology); Urban area; Air pollution; Greenhouse gas","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002570348,0.0002158283,0.0005529281,0.0005630578,0.00006017141,0.000008424528,0.0006422723,0.00100302,0.4808441],"category_scores_gemma":[0.001255821,0.0002167902,0.0001158855,0.0005101011,0.00002442342,0.00002715004,0.0001919647,0.001214792,0.001040686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009717861,"about_ca_system_score_gemma":0.0008373617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004854852,"about_ca_topic_score_gemma":0.0009136407,"domain_scores_codex":[0.9977911,0.0005643406,0.0004955609,0.0004923106,0.000180711,0.0004760534],"domain_scores_gemma":[0.9975677,0.0009712307,0.0002001887,0.0009271115,0.0001944805,0.0001392851],"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":[0.00001164574,0.0001515778,0.0001539979,0.0008326788,0.00006553732,0.00002774372,0.001753403,2.95591e-7,5.081898e-7,0.000001591764,0.9959955,0.001005522],"study_design_scores_gemma":[0.0002172022,0.00007809133,0.004558893,0.002107758,0.00001063549,0.000003129577,0.001678169,3.581385e-7,0.000001317267,0.00003182311,0.9911644,0.0001481759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005442974,0.008281355,2.721429e-8,0.0001133467,0.0006212319,0.0006233426,0.9862263,0.00001493896,0.004065027],"genre_scores_gemma":[0.00006119632,0.0002096537,0.000006077315,0.000166294,0.0002866452,0.001479415,0.9656597,0.000009864612,0.03212111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4798034,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029578106470832,"score_gpt":0.4576238701856318,"score_spread":0.3546660595385486,"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."}}