{"id":"W1576578659","doi":"","title":"Investigating water soluble organic aerosols: sources and evolution","year":2010,"lang":"en","type":"dissertation","venue":"SMARTech Repository (Georgia Institute of Technology)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Earth science; Environmental chemistry; Astrobiology; Chemistry; Geology; Biology","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":[0.0001708019,0.0002051839,0.000127065,0.0006852592,0.0002512898,0.0003799847,0.0001591583,0.000238841,0.0008977062],"category_scores_gemma":[0.00008556579,0.00008383408,0.0001560453,0.0005774135,0.00007237613,0.0001817925,0.000138545,0.0002075662,0.0002782837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269334,"about_ca_system_score_gemma":0.0003050047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638804,"about_ca_topic_score_gemma":0.004669207,"domain_scores_codex":[0.9999068,0.000003598196,0.000002442257,0.00002879561,0.00004385277,0.00001461344],"domain_scores_gemma":[0.9999578,0.000005711467,0.000009240156,0.000002026598,0.00001988554,0.000005249881],"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":[0.00004705209,0.00007020301,0.01479931,0.0001401801,0.00001728787,0.00007329354,0.000106901,0.0001570663,0.9619035,0.0002230877,0.0001988475,0.02226325],"study_design_scores_gemma":[0.000007071319,0.0002128387,0.1153187,0.00001810166,0.00004105695,0.0001656629,0.0001932736,0.001516646,0.8737401,0.0001583926,0.008618083,0.000009905383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861881,0.002806433,0.004224002,0.00006500859,0.00002517252,0.00008543793,0.0009653847,0.00004241469,0.00559809],"genre_scores_gemma":[0.9715703,0.005056774,0.009018741,0.0000799313,0.00002867035,0.00007258869,0.001312496,0.00002183052,0.01283857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002638804,"threshold_uncertainty_score":0.005246937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008525162446818096,"score_gpt":0.2186096240093085,"score_spread":0.2100844615624904,"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."}}