{"id":"W4251186057","doi":"10.5194/amt-2015-376","title":"Atmospheric mercury measurements onboard the CARIBIC passenger aircraft","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Mercury (programming language); Meteorology; Airplane; Atmospheric sciences; Aerospace engineering; Aeronautics; Geography; Engineering; Computer science; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001539857,0.0003845942,0.0002218215,0.0004415094,0.0004920107,0.000341602,0.0002577234,0.0002812975,0.0007435587],"category_scores_gemma":[0.0001685381,0.000149016,0.0001434749,0.0004330387,0.0001550405,0.000197755,0.0002331287,0.0003506799,0.0002329286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003664032,"about_ca_system_score_gemma":0.0003187408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03321584,"about_ca_topic_score_gemma":0.07828066,"domain_scores_codex":[0.999848,0.00001154236,0.000002461438,0.00004385944,0.00007061008,0.00002352741],"domain_scores_gemma":[0.9999045,0.000007189561,0.000008995758,0.000008679067,0.00005709793,0.00001362324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001502819,0.0002504698,0.1822444,0.0001514665,0.0002245886,0.001034737,0.001448915,0.006297822,0.7544202,0.0003149094,0.002875993,0.04923372],"study_design_scores_gemma":[0.00005220268,0.0007849082,0.8565026,0.00002337366,0.0001376235,0.0003869289,0.0006115924,0.01190507,0.1167983,0.00007822871,0.01267474,0.00004448191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965187,0.00007309747,0.0005689798,0.00001876752,0.00001098939,0.000008961809,0.0006427458,0.00009532799,0.002062445],"genre_scores_gemma":[0.9949194,0.00007100419,0.002136884,0.00002273444,0.000009532337,0.000004773144,0.001147556,0.00003309906,0.001654938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03321584,"threshold_uncertainty_score":0.06604499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444126961720433,"score_gpt":0.2339197991687299,"score_spread":0.2094785295515256,"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."}}