{"id":"W3002693018","doi":"10.3390/rs12020323","title":"A Multi-Year Evaluation of Doppler Lidar Wind-Profile Observations in the Arctic","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Radiosonde; Lidar; Doppler effect; Meteorology; Environmental science; Arctic; Remote sensing; The arctic; Numerical weather prediction; Doppler radar; Geology; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002871007,0.0004412458,0.0003381675,0.000912906,0.0006245262,0.0006998449,0.0003561317,0.0004326222,0.0001462817],"category_scores_gemma":[0.001893792,0.0001629766,0.0003305322,0.0007142093,0.000173194,0.0006405748,0.000575016,0.0003356284,0.00009091329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340396,"about_ca_system_score_gemma":0.000631535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03809913,"about_ca_topic_score_gemma":0.06986275,"domain_scores_codex":[0.9993316,0.0001340409,0.00005704574,0.0001607935,0.0002250332,0.00009150584],"domain_scores_gemma":[0.9983108,0.0002790964,0.0002837304,0.0001604548,0.0007785532,0.0001874398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00103833,0.001112129,0.8583613,0.0001415723,0.0003219304,0.001130051,0.00129404,0.04538071,0.03003654,0.0002311355,0.00083174,0.0601206],"study_design_scores_gemma":[0.00002068113,0.0008511576,0.9286035,0.0000271987,0.00009959657,0.0002072131,0.0007122722,0.06014047,0.007638658,0.00004234388,0.001605468,0.00005138917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984352,0.00004928735,0.0007823421,0.00001268438,0.000009750946,0.00001261415,0.0003650685,0.00001879188,0.0003142271],"genre_scores_gemma":[0.9969639,0.00007505852,0.001487853,0.000009661009,0.00001273512,0.00001804024,0.001260615,0.000007593622,0.0001645365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03809913,"threshold_uncertainty_score":0.07575476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05665848500496376,"score_gpt":0.2584008522148748,"score_spread":0.201742367209911,"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."}}