{"id":"W4394136901","doi":"10.6084/m9.figshare.24718602","title":"Characterization of atmospheric methane release in the outer Mackenzie River delta from biogenic and thermogenic sources. Point samples data used in Figure 1 and Figure 4.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Characterization (materials science); Delta; Geology; Environmental science; Mineralogy; Hydrology (agriculture); Geomorphology; Atmospheric sciences; Chemistry; Physics; Materials science; Nanotechnology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006202003,0.0002013013,0.0001112367,0.0008278543,0.000376087,0.0002273688,0.0002413609,0.0001453432,0.0007050064],"category_scores_gemma":[0.0001275358,0.0001171023,0.0001714755,0.0007578929,0.0000896495,0.0001072329,0.0001837741,0.0001290396,0.0001255036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380483,"about_ca_system_score_gemma":0.0003727359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2454786,"about_ca_topic_score_gemma":0.4375415,"domain_scores_codex":[0.9999572,0.000001492373,0.000002445256,0.00001465643,0.00001593181,0.000008139565],"domain_scores_gemma":[0.999952,0.000006435258,0.000008494135,0.00000263238,0.000022485,0.000007938818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004279217,0.00004833154,0.8397327,0.000152317,0.0001035492,0.0004878339,0.0006882258,0.001445011,0.1338168,0.0001141606,0.001135084,0.02184804],"study_design_scores_gemma":[0.000002435657,0.00001147193,0.9947695,0.000004667905,0.000009144004,0.00003642622,0.0001061939,0.0004562739,0.003814475,0.000006187272,0.0007801956,0.000002912788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9915734,0.0001191218,0.0002363084,0.00001746719,0.000001592407,0.00001620716,0.006163096,0.00003627178,0.001836621],"genre_scores_gemma":[0.9899351,0.000200041,0.001023248,0.00002128206,0.000001959271,0.00003850458,0.006890659,0.00001826619,0.001870789],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7545214,"threshold_uncertainty_score":0.4880995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072450453478655,"score_gpt":0.2313497797051929,"score_spread":0.2006252751704063,"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."}}