{"id":"W3192727496","doi":"","title":"Geolocating and Mosaicking Airborne Infrared Video for Wildfire Risk Analysis over Time without IMU Information","year":2019,"lang":"en","type":"article","venue":"NPARC","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Inertial measurement unit; Environmental science; Meteorology; Computer science; Computer vision; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002950784,0.0003600694,0.0002161427,0.001094943,0.0002131748,0.000466526,0.0003888571,0.0002385904,0.002319582],"category_scores_gemma":[0.000792709,0.0001777429,0.0003805096,0.0006166529,0.0001663291,0.0003454045,0.0003869153,0.00025477,0.00076053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979226,"about_ca_system_score_gemma":0.0006181058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00878786,"about_ca_topic_score_gemma":0.02101015,"domain_scores_codex":[0.9998552,0.00001183093,0.000005518172,0.00003244179,0.00007033261,0.00002471649],"domain_scores_gemma":[0.9998363,0.00002625734,0.00002241864,0.0000250187,0.00007458236,0.0000153205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002684637,0.0001311614,0.008357636,0.0002067377,0.00007249602,0.0002412601,0.0004633897,0.03892158,0.2371708,0.00217873,0.004456381,0.7075314],"study_design_scores_gemma":[0.00003497687,0.0001999949,0.0449878,0.00006504659,0.00007499844,0.0005756341,0.0005601709,0.7734456,0.1615072,0.002037244,0.01644549,0.00006576302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1602534,0.0001441036,0.8305584,0.00009761741,0.00007161635,0.0002391083,0.0009425344,0.003896085,0.003797061],"genre_scores_gemma":[0.2624439,0.0001874467,0.7333416,0.00003158309,0.00002701777,0.000142676,0.001213937,0.0003718955,0.002239895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00878786,"threshold_uncertainty_score":0.01747346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002445658204890201,"score_gpt":0.1791915088359402,"score_spread":0.17674585063105,"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."}}