{"id":"W1965569301","doi":"10.1175/jtech1964.1","title":"Turbulence Anisotropy Determined by Wind Profiler Radar and Its Correlation with Rain Events in Montreal, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Isotropy; Turbulence; Anisotropy; Wind profiler; Meteorology; Instability; Precipitation; Atmospheric sciences; Geology; Atmosphere (unit); Physics; Radar; Environmental science; Mechanics; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002328133,0.00032499,0.0002080643,0.00118205,0.0009605733,0.0008881586,0.000582197,0.0002234628,0.002224343],"category_scores_gemma":[0.0009505267,0.0002042775,0.0002146408,0.00142011,0.0003802195,0.0002034518,0.0002914395,0.000323558,0.0002153457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01575156,"about_ca_system_score_gemma":0.008773472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954125,"about_ca_topic_score_gemma":0.9972153,"domain_scores_codex":[0.9997776,0.00001481165,0.000008138538,0.00004189059,0.00006298869,0.000094563],"domain_scores_gemma":[0.9990563,0.00006970147,0.0001199733,0.00002432926,0.0005380306,0.0001917232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001446819,0.00004967635,0.9828109,0.00002341729,0.00009840195,0.0001960227,0.0003049561,0.003171658,0.002776331,0.000277381,0.003001106,0.007145553],"study_design_scores_gemma":[0.00000752258,0.000009913882,0.9971245,0.000005702393,0.000009315903,0.00001382266,0.0001531712,0.001816369,0.0001968698,0.00000987477,0.0006420527,0.00001088132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913316,0.0002154504,0.000243093,0.0001723393,0.000008580038,0.00003578636,0.004323766,0.00004705765,0.003622301],"genre_scores_gemma":[0.9971668,0.00009242138,0.0001578334,0.00001640957,0.000002437165,0.000005960452,0.001475601,0.000005505099,0.001076955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575156,"threshold_uncertainty_score":0.1142861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004514593421524136,"score_gpt":0.1839611830375759,"score_spread":0.1794465896160518,"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."}}