{"id":"W2517564487","doi":"","title":"Multisensor, Model, and Measurement Synergy: Global Aerosol Characterization II","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aerosol; Remote sensing; Environmental science; Characterization (materials science); Computer science; Meteorology; Geography; Materials science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000441531,0.0001689014,0.0001516427,8.608857e-7,0.0001921704,0.00004151358,0.0001346952,0.00007862096,0.00001589049],"category_scores_gemma":[0.00009256232,0.0001531108,0.00002754606,0.0001061403,0.00008255211,0.0002028447,0.0003017553,0.00006750799,0.00009271807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136614,"about_ca_system_score_gemma":0.00002604359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506481,"about_ca_topic_score_gemma":0.0008470043,"domain_scores_codex":[0.9985141,0.00004363694,0.0002150357,0.0003391506,0.0005836388,0.0003044556],"domain_scores_gemma":[0.9994239,0.000004797962,0.0001137204,0.0001796781,0.00003441571,0.000243448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001133601,0.0002752687,0.5978441,0.00002913809,0.00005146329,0.00001895379,0.003460649,0.08050264,0.2820253,0.0003006542,0.007668758,0.02770969],"study_design_scores_gemma":[0.002360864,0.0003494393,0.07563296,0.0001418253,0.00008407502,0.00003178568,0.0007119632,0.9072368,0.002578276,0.0004178268,0.009234862,0.00121931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848239,0.00008803014,0.004194596,0.0002619172,0.0001302064,0.0001588196,0.000005897938,0.00007440554,0.01026222],"genre_scores_gemma":[0.993476,0.00001919895,0.005629452,0.0002441577,0.00006194873,0.00001447835,0.000007372269,0.0000156348,0.000531761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8267342,"threshold_uncertainty_score":0.6243675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844016772022068,"score_gpt":0.2362093786486303,"score_spread":0.2077692109284096,"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."}}