{"id":"W7096310755","doi":"","title":"ENVISAT Data Validation with Ground-based Differential Absorption Raman Lidar (DIAL) at Toronto (73.8N, 79.5W) under A.O. ID 153","year":2012,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Absorption (acoustics); Calibration; Differential (mechanical device); Data acquisition; Raman spectroscopy; Atmospheric optics","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":[0.002297265,0.000592217,0.0002688965,0.0008602188,0.001097403,0.0006382893,0.0006897805,0.0003883729,0.001213831],"category_scores_gemma":[0.001743678,0.000218866,0.000370711,0.001098452,0.000567591,0.000539751,0.0006654698,0.0003794263,0.000773365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005347,"about_ca_system_score_gemma":0.003305214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1013311,"about_ca_topic_score_gemma":0.1892508,"domain_scores_codex":[0.9978365,0.0001845761,0.00009852889,0.000309431,0.001360918,0.0002100225],"domain_scores_gemma":[0.9981,0.000171943,0.0001638074,0.0003085337,0.001193024,0.00006265911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001848378,0.000602467,0.3665375,0.0005023648,0.0005013946,0.0006137535,0.002029643,0.03988544,0.4330782,0.002197299,0.02524237,0.1269611],"study_design_scores_gemma":[0.0002221642,0.0005506318,0.6427718,0.00007956687,0.0001948283,0.0002991318,0.0009296417,0.05070896,0.2632716,0.0005357504,0.04029956,0.0001364138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497381,0.0002186468,0.01901882,0.0001786406,0.00008212386,0.0002925681,0.01797586,0.001017866,0.01147733],"genre_scores_gemma":[0.9368019,0.000169766,0.02821206,0.0001559941,0.00001646984,0.0002426583,0.03022606,0.000273349,0.003901857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8986689,"threshold_uncertainty_score":0.2014826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185149895526539,"score_gpt":0.2383611343211589,"score_spread":0.2165096353658935,"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."}}