{"id":"W4408424849","doi":"10.5194/egusphere-egu25-5706","title":"Continuous Monitoring of Atmospheric Halocarbons with a Dewater-Thermo Desorption Unit and GC-ECD: Insights from Industrial and Urban Environments","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Environmental science; Desorption; Environmental chemistry; Chemistry; Organic chemistry; Psychology; Adsorption","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001417591,0.0003510123,0.0004452804,0.00001961728,0.0001313856,0.00006513288,0.0001959123,0.0003769285,0.00004988716],"category_scores_gemma":[0.00002447385,0.0002932829,0.0000410851,0.0001080477,0.0003502401,0.0001132882,0.0009322594,0.0005020546,0.000004146777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291537,"about_ca_system_score_gemma":0.00002038795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006143076,"about_ca_topic_score_gemma":0.00004269374,"domain_scores_codex":[0.9982303,0.0001331212,0.0003940926,0.000654315,0.000338697,0.000249433],"domain_scores_gemma":[0.9990975,0.0001235385,0.0002710666,0.0003627873,0.000005337365,0.00013983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000825011,0.00007132633,0.9779117,0.00002974736,0.0001100998,0.000006744107,0.001755225,0.001124431,0.002889377,0.0000103543,0.00001326024,0.01599525],"study_design_scores_gemma":[0.004046125,0.0006847363,0.9503995,0.002437038,0.0007593756,0.00001042848,0.004167004,0.008011592,0.02377051,0.001894722,0.001945665,0.001873272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965398,0.0002484704,0.001285481,0.00002093077,0.0002813827,0.0003692417,0.00002520924,0.00004705821,0.001182386],"genre_scores_gemma":[0.9923643,0.00008953073,0.006091171,0.00000694904,0.0001752302,0.00003254239,0.00002022804,0.00002223787,0.001197821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02751215,"threshold_uncertainty_score":0.999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840705987710794,"score_gpt":0.2270082441321319,"score_spread":0.198601184255024,"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."}}