{"id":"W2150729854","doi":"10.1364/ol.37.001706","title":"Water vapor concentration measurement in air using filament-induced fluorescence spectroscopy","year":2012,"lang":"en","type":"article","venue":"Optics Letters","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique; Université Laval","funders":"","keywords":"Water vapor; Femtosecond; Optics; Laser-induced fluorescence; Materials science; Fluorescence; Protein filament; Spectroscopy; Fluorescence spectroscopy; Humidity; Relative humidity; Laser; Analytical Chemistry (journal); Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874793,0.0003471295,0.0002887091,0.0002132701,0.0002996886,0.0002148566,0.0003906621,0.0004325948,0.0007451675],"category_scores_gemma":[0.0003362933,0.0001762072,0.0001865988,0.0002334221,0.0003038339,0.0003039991,0.0002656958,0.0004081229,0.0001182807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426873,"about_ca_system_score_gemma":0.0001577228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707546,"about_ca_topic_score_gemma":0.001459094,"domain_scores_codex":[0.999738,0.00003743144,0.00001141529,0.00007734841,0.00007750554,0.00005822505],"domain_scores_gemma":[0.9997718,0.0001040975,0.00005192567,0.00001409771,0.00004431799,0.00001374885],"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":[0.00003268229,0.000004593252,0.0002738342,0.00002075233,0.000003163813,0.00001860996,0.00001578939,0.00003872171,0.9987915,0.00003386682,0.00001725048,0.0007492556],"study_design_scores_gemma":[0.000003476688,0.00009229878,0.001967245,0.00000257568,0.000008253737,0.00002877235,0.00001348893,0.0008025366,0.9967334,0.00002311946,0.0003199963,0.000004944138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838395,0.0008506924,0.01366539,0.00005962634,0.00002703185,0.00003297342,0.0002741572,0.0001152138,0.001135515],"genre_scores_gemma":[0.9917247,0.0005019976,0.007076837,0.00002000521,0.00001393061,0.00003278917,0.0001870051,0.00001685239,0.0004258926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707546,"threshold_uncertainty_score":0.003395259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153257447054385,"score_gpt":0.2732200817233766,"score_spread":0.2416875072528328,"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."}}