{"id":"W2069432345","doi":"10.1021/ac049425k","title":"Sensing of Halocarbons Using Femtosecond Laser-Induced Fluorescence","year":2004,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Femtosecond; Chemistry; Laser; Laser-induced fluorescence; Fluorescence; Ozone; Lidar; Atmosphere (unit); Photochemistry; Analytical Chemistry (journal); Environmental chemistry; Optics; Meteorology; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008550206,0.0001447467,0.0002192149,0.000003041451,0.00007641321,0.00002367289,0.0001578684,0.000119291,0.001120767],"category_scores_gemma":[0.0000918524,0.0001346544,0.00009594081,0.0002236675,0.0001568754,0.00007615397,0.0000155187,0.0001896382,0.00002028384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177118,"about_ca_system_score_gemma":0.0001290301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005975584,"about_ca_topic_score_gemma":0.00002291175,"domain_scores_codex":[0.9989799,0.000007363464,0.000252806,0.0002623794,0.0002111,0.0002864194],"domain_scores_gemma":[0.9993965,0.00006257895,0.00008058082,0.0002361606,0.00003850102,0.0001857016],"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":[0.00006110088,0.00007865008,0.02505405,0.0002501186,0.0001036291,0.0002230701,0.0001071466,0.007771691,0.9574789,0.00002456582,0.00004451494,0.008802606],"study_design_scores_gemma":[0.0003977349,0.00002070489,0.002442842,0.00008698231,0.00005417273,0.00008038474,0.0001718961,0.04503949,0.9508813,0.0005133293,0.00004397488,0.0002671856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854659,0.00002467949,0.0001268814,0.00007428891,0.0000308023,0.00002947156,0.00002047632,0.00002501088,0.01420249],"genre_scores_gemma":[0.9969836,0.000003056296,0.002679959,0.00004590735,0.0001122095,4.34177e-8,0.00002830526,0.00000384459,0.0001430026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0372678,"threshold_uncertainty_score":0.9997923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355438910782432,"score_gpt":0.2345401660912272,"score_spread":0.2109857769834029,"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."}}