{"id":"W1976083510","doi":"10.1117/12.689312","title":"Frequency chirped differential absorption LIDAR","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laser; Materials science; Absorption (acoustics); Optics; Absorption spectroscopy; Chirp; Tunable diode laser absorption spectroscopy; Spectroscopy; Trace gas; Ultrafast laser spectroscopy; Analytical Chemistry (journal); Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001936303,0.0003195336,0.0003446947,0.00007028087,0.0001239252,0.000120074,0.0008513008,0.000240801,0.0001761223],"category_scores_gemma":[0.0001370711,0.0002810427,0.0006316669,0.0002344919,0.0001989273,0.0003562834,0.0001063134,0.0003479369,0.000005048937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775373,"about_ca_system_score_gemma":0.00002931189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004624536,"about_ca_topic_score_gemma":5.613006e-7,"domain_scores_codex":[0.9979097,4.668684e-9,0.0006779727,0.0004150539,0.0005994114,0.0003978303],"domain_scores_gemma":[0.9985214,0.00008130138,0.0003773641,0.00008016646,0.0008449333,0.00009480461],"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":[0.00002935751,0.0001386276,0.0005644314,0.0002234841,0.000133108,2.972213e-8,0.00003860718,0.00001890532,0.6090356,0.3883248,0.001446868,0.00004615015],"study_design_scores_gemma":[0.001215906,0.000091285,0.003002293,0.0002047258,0.000223111,0.00001239064,0.0004335235,0.009809317,0.9722077,0.009428966,0.00292409,0.000446733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816841,0.00006953038,0.00007837005,0.001105058,0.0001293683,0.0002623702,0.0000942236,0.0001537714,0.01642324],"genre_scores_gemma":[0.9706768,0.0000427272,0.0270773,0.00003734083,0.001077674,0.0002675944,0.00005366389,0.00006687331,0.0006999814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3788958,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184356582180956,"score_gpt":0.2223352272678674,"score_spread":0.2151508706856864,"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."}}