{"id":"W3011972664","doi":"","title":"Advances Toward Global Imaging Spectroscopy and Thermal Infrared Measurements II","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Infrared; Spectroscopy; Imaging spectroscopy; Infrared spectroscopy; Materials science; Remote sensing; Chemistry; Optics; Physics; Geology; Astronomy","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":[0.0004902801,0.0002353436,0.0002525104,0.00006191357,0.0001010927,0.00006308968,0.0001957534,0.00007568212,0.00002521947],"category_scores_gemma":[0.0001652762,0.000232739,0.00005502038,0.0001482778,0.00003768353,0.0003827972,0.0001162052,0.0001846842,0.0001144604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233382,"about_ca_system_score_gemma":0.00001625387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007030238,"about_ca_topic_score_gemma":0.00001168221,"domain_scores_codex":[0.9986836,0.00008691639,0.000251385,0.0002862342,0.0002590101,0.0004328152],"domain_scores_gemma":[0.9994761,0.00008283462,0.00006495423,0.0002565492,0.00005524067,0.00006429752],"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":[0.00006906655,0.00001889132,0.5508082,0.0002387859,0.0001021029,0.000008085161,0.0009023111,0.02639249,0.4002192,0.0001088984,0.00163617,0.01949577],"study_design_scores_gemma":[0.005220105,0.0005639017,0.2498534,0.0008186021,0.0001769516,0.0001213898,0.00247869,0.03465125,0.6621632,0.008277576,0.03211029,0.00356461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932179,0.003492248,0.001190243,0.00005058885,0.001542749,0.0002236865,0.000008622581,0.0006465588,0.06066627],"genre_scores_gemma":[0.9106273,0.0001997353,0.08863287,0.0001089867,0.0001630721,0.00001288397,0.000005461641,0.0000457591,0.000203929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3009548,"threshold_uncertainty_score":0.9490821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205411810194529,"score_gpt":0.26220791666398,"score_spread":0.2416667356445271,"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."}}