{"id":"W2760573911","doi":"","title":"Insights into fog and cloud chemistry from high resolution mass spectrometry","year":2008,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; Natural Resources Canada; National Oceanic and Atmospheric Administration; University at Albany; Harvard University; Mote Marine Laboratory and Aquarium; Centers for Disease Control and Prevention; University of Mumbai; National Institute for Occupational Safety and Health; West Virginia University; Texas Tech University; Carnegie Mellon University; U.S. Department of Agriculture; Colorado State University; California Air Resources Board; Georgia Institute of Technology; Boston College; Arizona State University; University of Wisconsin-Madison; Gwangju Institute of Science and Technology; University of California, Los Angeles; Carleton College; New York State Department of Environmental Conservation; National Environmental Engineering Research Institute; University of Southern California; California Department of Public Health; Rice University; U.S. Environmental Protection Agency","keywords":"Mass spectrometry; Chemistry; High resolution; Cloud computing; Chromatography; Computer science; Remote sensing; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000237271,0.0003879573,0.000305925,0.0004151147,0.000314334,0.0006795287,0.0003178335,0.0007285088,0.005437044],"category_scores_gemma":[0.0002801685,0.0002538094,0.0003463414,0.0002325651,0.000306532,0.0009689744,0.0004345648,0.0007067544,0.001090311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846411,"about_ca_system_score_gemma":0.0002710678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291266,"about_ca_topic_score_gemma":0.002982612,"domain_scores_codex":[0.9999592,0.000003786723,0.000001122448,0.000007492922,0.00001845942,0.00000994638],"domain_scores_gemma":[0.9999233,0.00003811083,0.000007631724,0.000004748674,0.00001218253,0.00001396882],"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":[0.0002245843,0.0003337032,0.01563953,0.0005513817,0.00008240715,0.001148561,0.0003678978,0.009904715,0.6528345,0.01975494,0.01911872,0.2800391],"study_design_scores_gemma":[0.00009362971,0.0007646913,0.149497,0.000327356,0.0001096003,0.003766702,0.001252872,0.1875118,0.3642604,0.1257348,0.1664336,0.0002475771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211242,0.04024317,0.3013928,0.0134495,0.001760226,0.0002360129,0.002047146,0.002689403,0.1170575],"genre_scores_gemma":[0.8147112,0.02814774,0.106847,0.002052643,0.001204982,0.00005506647,0.001581831,0.0002399587,0.0451596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005437044,"threshold_uncertainty_score":0.01818871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008332662165218453,"score_gpt":0.1562187922022185,"score_spread":0.1478861300370001,"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."}}