{"id":"W3188952517","doi":"10.1029/2021gl093805","title":"Measuring Atmospheric CO <sub>2</sub> Enhancements From the 2017 British Columbia Wildfires Using a Lidar","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Armstrong Flight Research Center; National Aeronautics and Space Administration","keywords":"Lidar; Environmental science; Remote sensing; Meteorology; Atmospheric sciences; Geology; Geography","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":[0.000127145,0.0003345585,0.0001330818,0.0003670233,0.0009633876,0.0005406971,0.0003373279,0.000305147,0.0007840209],"category_scores_gemma":[0.0001845493,0.0001598737,0.00009366548,0.0005833213,0.0001845784,0.0002126836,0.0002340387,0.0005375404,0.0001691714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195235,"about_ca_system_score_gemma":0.001701904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6812032,"about_ca_topic_score_gemma":0.8661957,"domain_scores_codex":[0.9998955,0.000004842078,0.000002148811,0.00002257216,0.00005158371,0.00002331924],"domain_scores_gemma":[0.9998733,0.00001056781,0.000007648456,0.000005515295,0.00008342835,0.00001956914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006449529,0.0004828051,0.6072427,0.000145967,0.0001706012,0.0008178159,0.001182415,0.01315865,0.2891081,0.0002267279,0.00649557,0.08032373],"study_design_scores_gemma":[0.00005612332,0.0001551465,0.8972565,0.00003051428,0.00008944327,0.0001446508,0.001397999,0.03635142,0.05929836,0.00008726373,0.00508462,0.00004798931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958317,0.00004858055,0.000365633,0.00005908079,0.000007565241,0.00001685097,0.0007294582,0.00007798166,0.002863058],"genre_scores_gemma":[0.9978275,0.00005636751,0.0006348952,0.00002836635,0.00000253763,0.000009976678,0.0005876888,0.000008118961,0.0008446402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3187968,"threshold_uncertainty_score":0.6413484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023150516586947,"score_gpt":0.2571505662838602,"score_spread":0.2269190611179907,"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."}}