{"id":"W4236421282","doi":"10.1117/12.2064616","title":"Airborne midwave and longwave infrared hyperspectral imaging of gases","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Hyperspectral imaging; Longwave; Environmental science; Remote sensing; Infrared; Chemical imaging; Characterization (materials science); Materials science; Explosive material; Optics; Radiative transfer; Geology; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002078853,0.0003645062,0.000199637,0.0004232629,0.0002129093,0.0002936955,0.0003197238,0.0003143163,0.002072161],"category_scores_gemma":[0.0001581221,0.0001682403,0.000199941,0.0004013176,0.0002528057,0.0005778937,0.0003565999,0.0004142883,0.0003860713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775984,"about_ca_system_score_gemma":0.0001655203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268341,"about_ca_topic_score_gemma":0.002970653,"domain_scores_codex":[0.9997857,0.00001830167,0.00000502945,0.00006530624,0.00009233859,0.00003334819],"domain_scores_gemma":[0.9998569,0.0000291417,0.00003791136,0.00001748069,0.00004514739,0.00001336485],"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":[0.0001576099,0.00009211522,0.003453223,0.00008078227,0.000011932,0.00004907015,0.00007115398,0.001271773,0.9729903,0.0003800705,0.0003523744,0.02108955],"study_design_scores_gemma":[0.00002153634,0.0004388759,0.0600378,0.00002726463,0.00003825737,0.0005783063,0.0003368584,0.03782169,0.8962411,0.0005476415,0.003857139,0.00005342948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460047,0.0008089391,0.04393667,0.00008926728,0.00003791157,0.00004322558,0.0008600624,0.0004981966,0.007720938],"genre_scores_gemma":[0.9299735,0.0004899987,0.06631222,0.00006909005,0.00002624259,0.0000380469,0.0005651671,0.0000685667,0.002457015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002072161,"threshold_uncertainty_score":0.00693208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007287552015418141,"score_gpt":0.2235406243625613,"score_spread":0.2162530723471432,"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."}}