{"id":"W2130890725","doi":"10.1364/ao.47.001336","title":"Standoff determination of the particle size and concentration of small optical depth clouds based on double scattering measurements: concept and experimental validation with bioaerosols","year":2008,"lang":"en","type":"article","venue":"Applied Optics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Lidar; Optics; Bioaerosol; Scattering; Mie scattering; Optical depth; Attenuation; Aerosol; Remote sensing; Forward scatter; Indoor bioaerosol; Light scattering; Particle (ecology); Atmospheric optics; Physics; Materials science; Meteorology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009063444,0.00009484856,0.0001117987,5.059686e-7,0.00009611981,0.00001133515,0.00006338242,0.00003748343,0.00002612761],"category_scores_gemma":[0.000007414342,0.00006846164,0.00001377558,0.00008177993,0.0004968993,0.00005283301,0.0000436748,0.00004186314,7.216754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004383666,"about_ca_system_score_gemma":0.00001307967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001649285,"about_ca_topic_score_gemma":0.000008910803,"domain_scores_codex":[0.999262,0.00001565461,0.0001755696,0.0001614208,0.0002683562,0.0001169996],"domain_scores_gemma":[0.9996492,0.00004652873,0.0001137882,0.0001327431,0.00001198014,0.00004574353],"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":[0.0003780733,0.0002242831,0.158575,0.00001484394,0.000009909169,8.025889e-7,0.001539073,0.00849372,0.8287972,0.0006608645,0.000003517514,0.001302697],"study_design_scores_gemma":[0.001771883,0.0002037732,0.06336259,0.00001504264,0.00001808893,0.000002439229,0.0002437178,0.005322911,0.928957,0.00001100267,0.000002419813,0.00008912246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930319,0.00001093657,0.004547957,0.00003315254,0.0000166862,0.0003258119,0.00000132551,0.000007786276,0.002024472],"genre_scores_gemma":[0.9889785,0.000003429301,0.01091646,0.00005719422,0.000006955305,0.00001751717,0.000001373555,0.000008408338,0.00001017894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001598,"threshold_uncertainty_score":0.2791785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483668292978458,"score_gpt":0.2255809223027263,"score_spread":0.2007442393729417,"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."}}