{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004192315,0.0003835809,0.0004106613,0.00006462224,0.0006256092,0.0001010218,0.0008496807,0.0005195701,0.000268397],"category_scores_gemma":[0.000103982,0.0003616032,0.0001198807,0.001098255,0.001251985,0.0004978827,0.0002089959,0.0007384809,0.00007451801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002240099,"about_ca_system_score_gemma":0.00005154691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002529201,"about_ca_topic_score_gemma":0.0002973031,"domain_scores_codex":[0.9982305,0.00003018418,0.000266314,0.0007433935,0.0002716569,0.0004580123],"domain_scores_gemma":[0.9988217,0.0001816534,0.0001534196,0.0005361633,0.00003827579,0.0002687366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001212604,0.001050149,0.5160961,0.0001828518,0.0007070661,0.006878659,0.001267529,0.0002681792,0.4408827,0.009536998,0.0008514124,0.02106586],"study_design_scores_gemma":[0.005849279,0.001388844,0.2514442,0.0003326342,0.0002749369,0.0006054573,0.01073204,0.001655988,0.5045725,0.1179461,0.0996941,0.005503994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777425,0.0004279923,0.001609756,0.0002525134,0.00007086026,0.0001498653,0.0001859943,0.0007811358,0.01877938],"genre_scores_gemma":[0.9949873,0.0001773915,0.003377498,0.00004377405,0.0001015119,3.280335e-7,0.000424651,0.000009992208,0.000877554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2646518,"threshold_uncertainty_score":0.9998836,"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."}}