{"id":"W3156695755","doi":"","title":"An Evaluation of Doppler Lidar Wind Profiles at the Iqaluit Supersite","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lidar; Remote sensing; Doppler effect; Environmental science; Meteorology; Doppler radar; 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":[0.0006568719,0.0002539115,0.0002737577,0.0006629374,0.0006267695,0.0009645692,0.0006153634,0.0004106557,0.001665585],"category_scores_gemma":[0.0009338573,0.0001580912,0.0002329761,0.0007216848,0.000139729,0.0005181736,0.0004387102,0.0003526374,0.0009260945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105941,"about_ca_system_score_gemma":0.0007595576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05456595,"about_ca_topic_score_gemma":0.1338106,"domain_scores_codex":[0.9996531,0.00003734312,0.00001283954,0.00006375516,0.0001660086,0.00006690136],"domain_scores_gemma":[0.9992797,0.00007137947,0.00003604941,0.00006454467,0.0004545022,0.00009381222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003014909,0.001234941,0.6661749,0.0001448146,0.0002038619,0.0007435007,0.001468467,0.03507549,0.1074777,0.001021508,0.007193183,0.1762467],"study_design_scores_gemma":[0.0001449252,0.0007514795,0.8713347,0.00003627354,0.0001060353,0.0001617571,0.001216188,0.1025942,0.01717231,0.0001427204,0.006289076,0.00005024234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892309,0.0000309814,0.001468195,0.00006798792,0.00002467806,0.00003150959,0.002185555,0.0002291251,0.006731068],"genre_scores_gemma":[0.9888389,0.000029481,0.004784487,0.00003371375,0.00001099566,0.00001796439,0.004691603,0.00007773736,0.001515174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05456595,"threshold_uncertainty_score":0.1084967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254156847021693,"score_gpt":0.252390211211787,"score_spread":0.2269745265096177,"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."}}