{"id":"W4288748645","doi":"10.5194/amt-2022-163-rc2","title":"Comment on amt-2022-163","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anemometer; Tripod (photography); Eddy covariance; Turbulence; Wavelet; Wind speed; Geodesy; Crosswind; Turbulence kinetic energy; Meteorology; Mechanics; Environmental science; Acoustics; Geology; Physics; Computer science; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002321919,0.001008425,0.0009803361,0.0008223829,0.003239612,0.003160435,0.00240786,0.04055049,0.06134199],"category_scores_gemma":[0.0138444,0.0005009216,0.001614653,0.0008668615,0.002011119,0.002197161,0.0017842,0.02182473,0.05122895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003771434,"about_ca_system_score_gemma":0.003058237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924013,"about_ca_topic_score_gemma":0.02448871,"domain_scores_codex":[0.9982637,0.0002113515,0.0001932195,0.0002501725,0.0007066712,0.0003749618],"domain_scores_gemma":[0.9977374,0.0007756415,0.0001724807,0.0001933281,0.0006946817,0.0004264759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008196883,0.00002651664,0.0003129041,0.00006981794,0.000006231433,0.0006280952,0.0000981937,0.0000214777,0.0002324545,0.001977798,0.9926824,0.003862157],"study_design_scores_gemma":[0.00002021493,0.00002668646,0.001200969,0.000154635,0.000005996577,0.000106817,0.0001252402,0.00005689351,0.0001104509,0.001014999,0.9971591,0.00001794366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001757199,0.002950293,0.0005164337,0.5948928,0.2585454,0.0004393248,0.002372181,0.001083905,0.1374425],"genre_scores_gemma":[0.005620655,0.0009380261,0.0003412297,0.76386,0.05027286,0.0004258829,0.0004461836,0.000167279,0.1779279],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06134199,"threshold_uncertainty_score":0.2052094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586045202204961,"score_gpt":0.2741560148773062,"score_spread":0.2482955628552566,"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."}}