{"id":"W2013356945","doi":"10.1002/2014gl061112","title":"Cloud partitioning of isocyanic acid (HNCO) and evidence of secondary source of HNCO in ambient air","year":2014,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Environment and Climate Change Canada; University of Toronto","funders":"University of Toronto; California Institute of Technology","keywords":"Isocyanic acid; Environmental science; Chemistry; Physics; Astrobiology; Organic chemistry","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":[0.0001386171,0.000220398,0.0001894024,0.0004701515,0.0006760806,0.0003601611,0.0002615938,0.0003311062,0.001153544],"category_scores_gemma":[0.0001340504,0.00009976998,0.0001244805,0.0002096931,0.0003530717,0.0002211455,0.0001961877,0.0002855386,0.000169586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092187,"about_ca_system_score_gemma":0.0004112535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05199591,"about_ca_topic_score_gemma":0.04067887,"domain_scores_codex":[0.9998525,0.00001038431,0.000003834321,0.00004340219,0.0000597215,0.00003017688],"domain_scores_gemma":[0.9998149,0.00002349309,0.00002694863,0.00001017661,0.00009135421,0.00003319208],"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":[0.0007284551,0.0002687715,0.1621416,0.00006058334,0.00003441456,0.0003505984,0.0001375791,0.0003530987,0.8305185,0.0001582739,0.0004381193,0.004809785],"study_design_scores_gemma":[0.00006940088,0.0006470444,0.7420748,0.0000130004,0.00002654633,0.0002275713,0.000395031,0.004303788,0.2507641,0.0001607136,0.001302603,0.00001532193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981017,0.0000713245,0.0003562491,0.00002639638,0.000007988334,0.00002188393,0.0002190783,0.0000117922,0.001183736],"genre_scores_gemma":[0.9990533,0.00004574029,0.0003543505,0.00003130025,0.000009198298,0.000007550888,0.0001786467,0.000003678893,0.0003162691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05199591,"threshold_uncertainty_score":0.1033865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671764276783253,"score_gpt":0.2742483639849893,"score_spread":0.2475307212171568,"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."}}