{"id":"W2076611559","doi":"10.1017/s1751731113000657","title":"Developments in micrometeorological methods for methane measurements","year":2013,"lang":"en","type":"review","venue":"animal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Eddy covariance; Environmental science; Methane emissions; Flux (metallurgy); Atmospheric sciences; Methane; Atmospheric dispersion modeling; Planetary boundary layer; Manure; Meteorology; Air pollution; Ecosystem; Materials science; Physics; Turbulence; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.0008349149,0.0004740501,0.001141905,0.00001996229,0.0000561238,0.00002190407,0.0005263562,0.0004030143,0.001019633],"category_scores_gemma":[0.00006550687,0.0003704645,0.000291076,0.0002697954,0.0001509814,0.0001193316,0.0004531356,0.0002753062,0.0007030541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594636,"about_ca_system_score_gemma":0.0000257836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009114854,"about_ca_topic_score_gemma":0.0000083534,"domain_scores_codex":[0.9976057,0.0002812368,0.0006218344,0.0006842404,0.0002269229,0.0005800402],"domain_scores_gemma":[0.999234,0.0001559485,0.000229231,0.0002424783,0.000002741254,0.0001355792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008204343,0.00008434692,0.0005965753,0.0003171569,0.0000469958,0.000002441091,0.00001867612,0.0000129831,0.00009475658,0.00000719301,0.0001279706,0.9986827],"study_design_scores_gemma":[0.0002339429,0.0001307119,0.001204008,0.0002285775,0.0001396343,0.00001399232,0.000007659076,0.00004625822,0.000007453463,0.00005749199,0.9974847,0.0004455918],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004377893,0.9887878,0.005846328,0.000007798571,0.0001552458,0.001929772,0.000005098601,0.00003471657,0.002795496],"genre_scores_gemma":[0.00001105513,0.5776386,0.421071,0.00006253144,0.00001693855,0.0004715157,0.00002292198,0.00004154119,0.0006638506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9982371,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236846261368383,"score_gpt":0.383415661194335,"score_spread":0.2597310350574967,"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."}}