{"id":"W2801341343","doi":"10.5194/acp-18-5847-2018","title":"Study of the daily and seasonal atmospheric CH <sub>4</sub> mixing ratio variability in a rural Spanish region using <sup>222</sup> Rn tracer","year":2018,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Methane; Standard deviation; Atmospheric sciences; TRACER; Environmental science; Mixing ratio; Planetary boundary layer; Chemistry; Meteorology; Turbulence; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229274,0.0002945738,0.0002856067,0.0003537963,0.0001717472,0.0003233246,0.0003795816,0.0003751654,0.0003436913],"category_scores_gemma":[0.0002686915,0.0001080505,0.0003757697,0.0006929659,0.0001293825,0.0001437544,0.0001741558,0.0001355658,0.00015962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333442,"about_ca_system_score_gemma":0.0003588981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06173775,"about_ca_topic_score_gemma":0.05195851,"domain_scores_codex":[0.9999079,0.00001452957,0.000004074232,0.00004381984,0.00001596096,0.00001373031],"domain_scores_gemma":[0.9998254,0.00004761521,0.00003477708,0.00001760469,0.00005902982,0.00001553748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005677918,0.0001173357,0.918819,0.0001771494,0.000325761,0.0004962987,0.0004377121,0.006396994,0.05110624,0.0001138448,0.0006635459,0.02077837],"study_design_scores_gemma":[0.00002102611,0.00006731461,0.9875321,0.000007140338,0.00005710618,0.00006130918,0.000241562,0.007633479,0.002750082,0.00003619485,0.001582373,0.00001043826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977563,0.0001747873,0.0005797513,0.00002296196,0.000004346912,0.000006189028,0.0009590373,0.00002829427,0.0004684006],"genre_scores_gemma":[0.997769,0.0001091504,0.0006866684,0.00001372115,0.000005335802,0.00001314058,0.001126648,0.00001376613,0.0002626791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06173775,"threshold_uncertainty_score":0.1227568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007035658863860298,"score_gpt":0.1986724343305383,"score_spread":0.191636775466678,"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."}}