{"id":"W2109076304","doi":"10.5194/acp-12-3205-2012","title":"Detection of particle layers in backscatter profiles: application to Antarctic lidar measurements","year":2012,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Institut Polaire Français Paul Emile Victor","keywords":"Lidar; Backscatter (email); Remote sensing; Range (aeronautics); Environmental science; Robustness (evolution); Geology; Computer science; Materials science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005395563,0.0004067171,0.0002501128,0.0006261873,0.0001976119,0.0003873722,0.0003305073,0.000400299,0.0002730732],"category_scores_gemma":[0.001397563,0.0002116637,0.0002169474,0.0006338403,0.0001672907,0.0002081513,0.0002862716,0.0002036445,0.000120333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000246161,"about_ca_system_score_gemma":0.0002821121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585387,"about_ca_topic_score_gemma":0.002539421,"domain_scores_codex":[0.9997886,0.00007513979,0.00001149658,0.00002801371,0.00007840098,0.00001842409],"domain_scores_gemma":[0.9993377,0.0003673867,0.00007530414,0.00005985396,0.0001299899,0.00002969118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006136464,0.0002128587,0.07286929,0.0002752296,0.0001877008,0.0007835475,0.0003194861,0.1116003,0.2490633,0.001250696,0.0007390201,0.5620849],"study_design_scores_gemma":[0.00003973054,0.0002312558,0.04630949,0.00001843601,0.00003102758,0.0005954668,0.00008097073,0.8813567,0.06993306,0.000500764,0.0008588909,0.00004423597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6948863,0.00053608,0.3028298,0.0001554228,0.00003847589,0.00006848023,0.0002174339,0.0004193089,0.0008486908],"genre_scores_gemma":[0.8518144,0.0002388535,0.1473129,0.00002630079,0.00002028269,0.00003316429,0.0001399053,0.00001567941,0.0003984089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002585387,"threshold_uncertainty_score":0.005140722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009412992033990332,"score_gpt":0.2179842881558868,"score_spread":0.2085712961218965,"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."}}