{"id":"W4382395081","doi":"10.18280/ts.400339","title":"A Novel Method for Analyzing Infrared Images Taken by Unmanned Aerial Vehicles for Forest Fire Monitoring","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shenzhen Polytechnic","keywords":"Remote sensing; Infrared; Environmental science; Computer science; Computer vision; Artificial intelligence; Geography; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003204281,0.0007388231,0.0003887958,0.001532786,0.0002953677,0.0004829708,0.000596016,0.0005397553,0.001385418],"category_scores_gemma":[0.0006899067,0.0002533616,0.0004681236,0.001149199,0.0002953297,0.0009258435,0.0003436676,0.0005394948,0.0005214936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668425,"about_ca_system_score_gemma":0.0004899083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228289,"about_ca_topic_score_gemma":0.002370819,"domain_scores_codex":[0.9996233,0.00003465944,0.00002214598,0.0001362747,0.0001584678,0.00002513396],"domain_scores_gemma":[0.9997157,0.00005909555,0.00005688917,0.00003756162,0.0001128231,0.00001790973],"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":[0.0001757549,0.0001502061,0.003472178,0.0003010691,0.00006305426,0.000224378,0.0001166248,0.01821941,0.1628708,0.002266238,0.001612783,0.8105275],"study_design_scores_gemma":[0.00003395947,0.0002680495,0.01213225,0.00004280321,0.00009867028,0.001217972,0.0001255337,0.8742938,0.09913153,0.002037241,0.01054956,0.0000684847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01272185,0.0001598839,0.9853548,0.00003448124,0.0000622494,0.00007736999,0.00008452526,0.0005825114,0.0009223755],"genre_scores_gemma":[0.1474966,0.0004316563,0.8494782,0.00005138826,0.00005485082,0.0001609778,0.0001906705,0.00005024608,0.002085278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001532786,"threshold_uncertainty_score":0.004634678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885975323200968,"score_gpt":0.2702176066084884,"score_spread":0.2513578533764788,"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."}}