{"id":"W4367330492","doi":"10.1039/d3ea00005b","title":"Ultraviolet refractive index values of organic aerosol extracted from deciduous forestry, urban and marine environments","year":2023,"lang":"en","type":"article","venue":"Environmental Science Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Central Laser Facility, Science and Technology Facilities Council; Science and Technology Facilities Council; Sight Research UK; Royal Holloway, University of London; Environment and Climate Change Canada; Natural Environment Research Council","keywords":"Deciduous; Ultraviolet; Refractive index; Aerosol; Atmosphere (unit); Index (typography); Spectroscopy; Wavelength; Environmental science; Materials science; Chemistry; Optoelectronics; Physics; Meteorology; Botany; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007183916,0.0001610696,0.00006742114,0.0008107928,0.0002523782,0.0001525587,0.000104611,0.0001234957,0.001022041],"category_scores_gemma":[0.0001510689,0.00005960027,0.00007752709,0.0004139121,0.000111383,0.0001517481,0.0001034016,0.0001398303,0.0001862299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204427,"about_ca_system_score_gemma":0.00008974119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877565,"about_ca_topic_score_gemma":0.004613072,"domain_scores_codex":[0.9999509,0.000003935546,0.000003524882,0.00001191422,0.00002109655,0.000008584095],"domain_scores_gemma":[0.9999092,0.00003246928,0.00001955091,0.000004384227,0.00001960386,0.00001490678],"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":[0.0005224114,0.00006881342,0.07574284,0.00009109969,0.00004868419,0.0001669915,0.0001659121,0.0004465853,0.9059824,0.0001449925,0.0002089481,0.01641021],"study_design_scores_gemma":[0.000008770785,0.000197146,0.66694,0.000009991002,0.00003708633,0.0004791518,0.0003610709,0.001696834,0.3287414,0.0001475897,0.001362411,0.00001859437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964384,0.0002662333,0.0007548375,0.000006947464,0.000007129319,0.000005016724,0.0007076625,0.00002150459,0.001792335],"genre_scores_gemma":[0.9957294,0.0002623342,0.001910859,0.00001639606,0.000005480638,0.000009277495,0.001118336,0.000009055774,0.0009388337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002877565,"threshold_uncertainty_score":0.005721688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006287552456616934,"score_gpt":0.1950246490221257,"score_spread":0.1887370965655088,"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."}}