{"id":"W4403285244","doi":"10.1016/j.atmosenv.2024.120858","title":"Analytical optical methods for measuring organic peroxides and hydroperoxides: An evaluation","year":2024,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ministerio de Ciencia e Innovación; Universidad de Castilla-La Mancha; European Regional Development Fund; Federación Española de Enfermedades Raras; Natural Sciences and Engineering Research Council of Canada; European Commission; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades","keywords":"Environmental chemistry; Chemistry; Environmental 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":[0.004800641,0.001312586,0.0003825219,0.001819951,0.000690179,0.000630628,0.001383087,0.000946971,0.0009807878],"category_scores_gemma":[0.003637917,0.0004789679,0.0005869925,0.0008992305,0.0007709008,0.0007902808,0.000795565,0.0007572814,0.000548011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237945,"about_ca_system_score_gemma":0.001498512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632285,"about_ca_topic_score_gemma":0.006391699,"domain_scores_codex":[0.9952921,0.001075567,0.0001123491,0.0003029649,0.003081814,0.0001352687],"domain_scores_gemma":[0.9959007,0.001247595,0.0002959202,0.0002595828,0.002154263,0.0001418668],"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":[0.001240084,0.0008586438,0.008207078,0.001623859,0.0001970424,0.0001765549,0.0002904032,0.001204618,0.7779164,0.001808587,0.001394871,0.2050819],"study_design_scores_gemma":[0.00004684278,0.002195015,0.006219645,0.00007982447,0.0002209993,0.0006555867,0.0001908953,0.004076445,0.9649465,0.0003852154,0.02094543,0.00003759259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5575373,0.09010687,0.3188017,0.001783738,0.0008092141,0.001942124,0.000929682,0.0006903542,0.02739897],"genre_scores_gemma":[0.6063191,0.06618134,0.2998674,0.0008260168,0.0002829632,0.0008883295,0.0007904011,0.0001079914,0.02473647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004800641,"threshold_uncertainty_score":0.02538854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758672791000255,"score_gpt":0.2962428590327468,"score_spread":0.2686561311227443,"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."}}