{"id":"W4245247649","doi":"10.1142/9789812835925_0017","title":"STANDOFF DETERMINATION OF BIOAEROSOL SIZE BASED ON DOUBLE SCATTERING MEASUREMENT WITH MFOV LIDAR; CONCEPT AND NUMERICAL SIMULATION","year":2009,"lang":"en","type":"book-chapter","venue":"Selected topics in electornics and systems","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Bioaerosol; Lidar; Environmental science; Remote sensing; Scattering; Aerospace engineering; Optics; Meteorology; Geography; Physics; Aerosol; Engineering","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":[0.0003293966,0.0002464174,0.0003180502,0.000310143,0.0002067903,0.000507341,0.0009643601,0.0005895206,0.0006926677],"category_scores_gemma":[0.0004989651,0.0002541016,0.0002287419,0.00026823,0.0005641854,0.001231759,0.000541189,0.000334823,0.0002711026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101424,"about_ca_system_score_gemma":0.0002906221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108994,"about_ca_topic_score_gemma":0.001308042,"domain_scores_codex":[0.9998771,0.00001470221,0.000003887807,0.00002876769,0.00006823056,0.00000726092],"domain_scores_gemma":[0.9998602,0.00007571331,0.00001354103,0.00001377559,0.00003029423,0.000006515063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001400381,0.0001924843,0.005723039,0.0004898292,0.00003733981,0.0004549259,0.0004613664,0.2360898,0.4566444,0.1426332,0.003726504,0.1534071],"study_design_scores_gemma":[0.00000577503,0.00001676854,0.0009750017,0.00001240302,0.000003290337,0.0001282023,0.00003258276,0.963577,0.02672805,0.006570767,0.0019332,0.00001693272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1073979,0.001758197,0.8709249,0.0003254465,0.0001417468,0.0001157187,0.0002655802,0.0004349233,0.01863549],"genre_scores_gemma":[0.7625527,0.0009040043,0.2287344,0.0001145047,0.00004206522,0.0001252082,0.0001667046,0.00005972764,0.007300711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001108994,"threshold_uncertainty_score":0.004426897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290129735746328,"score_gpt":0.2474983705691802,"score_spread":0.2145970732117169,"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."}}