{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00294095,0.001393972,0.0009090937,0.001506161,0.0003964964,0.002574413,0.001069387,0.001330509,0.005017678],"category_scores_gemma":[0.001441393,0.0005630007,0.0005874764,0.001111874,0.0012011,0.002950878,0.002232985,0.002521194,0.003188498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009687353,"about_ca_system_score_gemma":0.001124821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007618967,"about_ca_topic_score_gemma":0.001162517,"domain_scores_codex":[0.9985046,0.0002996006,0.0000457457,0.0004596049,0.0005478592,0.000142599],"domain_scores_gemma":[0.9988104,0.0003172466,0.0001154002,0.0001575961,0.0005093886,0.00009001384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001919001,0.0001664823,0.002316847,0.0009175464,0.00007912204,0.00009018259,0.0002593876,0.002627554,0.4144583,0.03756937,0.01157203,0.5297514],"study_design_scores_gemma":[0.00002756214,0.000798847,0.007830056,0.0005846538,0.0001306018,0.0008861733,0.0005154142,0.04265328,0.4479406,0.02336615,0.4750907,0.0001759108],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03338593,0.08205844,0.8057913,0.0076714,0.002376058,0.0002351587,0.0005263004,0.002169928,0.0657855],"genre_scores_gemma":[0.2455911,0.07239185,0.6160428,0.003490925,0.002352407,0.0003491331,0.001145563,0.0008561086,0.05778009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005017678,"threshold_uncertainty_score":0.0167858,"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."}}