{"id":"W3213681136","doi":"10.3390/drones5040132","title":"A Practical Validation of Uncooled Thermal Imagers for Small RPAS","year":2021,"lang":"en","type":"article","venue":"Drones","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Black-body radiation; Environmental science; Vegetation (pathology); Thermal; Wind speed; Range (aeronautics); Calibration; Humidity; Computer science; Meteorology; Materials science; Optics; Physics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007527878,0.00005672109,0.00009201465,0.00001651393,0.00001758239,0.00001220653,0.00002935929,0.00002665952,0.00005290441],"category_scores_gemma":[0.000101026,0.0000574642,0.00003935009,0.00005295411,0.00001557272,0.00006528058,0.000005403097,0.00004763314,0.000004595718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001470812,"about_ca_system_score_gemma":0.00004172523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005582939,"about_ca_topic_score_gemma":0.00000203154,"domain_scores_codex":[0.9996426,0.000009818551,0.0001051223,0.00007250994,0.00005229039,0.0001176435],"domain_scores_gemma":[0.9996789,0.0001455997,0.00001751054,0.00008776061,0.00004796389,0.00002223251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002268163,0.00005685399,0.0003607752,0.0002577359,0.00009500618,0.00001779001,0.0005038121,0.01258038,0.9793438,0.0013427,0.001162907,0.004255519],"study_design_scores_gemma":[0.0004610876,0.00001263365,0.000555878,0.00002820519,0.00006575912,0.00001942696,0.0002995419,0.08334029,0.9132291,0.0004247742,0.001440578,0.0001227004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5559144,0.0001242417,0.4398541,0.0003012848,0.000314587,0.0001228852,0.00001994036,0.0001038948,0.003244602],"genre_scores_gemma":[0.981043,0.0000114407,0.01868914,0.0000231339,0.0000550569,0.00001524715,0.00002262142,0.00001538965,0.0001249925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251285,"threshold_uncertainty_score":0.2343322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176863095005401,"score_gpt":0.2571282104947507,"score_spread":0.2353595795446966,"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."}}