{"id":"W4366420362","doi":"10.3390/f14040833","title":"An Improved Forest Fire and Smoke Detection Model Based on YOLOv5","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Smoke; Computer science; Feature (linguistics); Deep learning; Environmental science; Feature extraction; Fire prevention; Artificial intelligence; Remote sensing; Geography; Meteorology; Engineering","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":[0.0002344997,0.0005664604,0.0006085473,0.0004112651,0.0003065632,0.0005874839,0.001444495,0.0007190839,0.00206847],"category_scores_gemma":[0.0003674673,0.0003023686,0.0008539467,0.0002387165,0.0003055458,0.0007093719,0.0006134365,0.0007328996,0.0004185052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009340624,"about_ca_system_score_gemma":0.0009404491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02508532,"about_ca_topic_score_gemma":0.02063705,"domain_scores_codex":[0.9998788,0.000008618057,0.000004882972,0.000045411,0.00003073668,0.00003157054],"domain_scores_gemma":[0.999905,0.00001944896,0.00001260359,0.000006794769,0.00004480435,0.00001133567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002092784,0.00009075241,0.004448915,0.00008721035,0.00007906889,0.0001575569,0.00006569942,0.8590981,0.01420252,0.007325566,0.002947595,0.1112877],"study_design_scores_gemma":[0.000003053756,0.00001221979,0.0002047632,0.000002476373,0.000008219909,0.00001250088,0.000001761837,0.9985044,0.000628715,0.000379932,0.0002388496,0.000003090769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1496004,0.0009033526,0.8352357,0.0005776242,0.0002145878,0.00006089862,0.0004650792,0.002274164,0.01066828],"genre_scores_gemma":[0.9532685,0.0002670467,0.03830153,0.0002091654,0.0000364652,0.00004692882,0.0004643418,0.00006776168,0.007338366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02508532,"threshold_uncertainty_score":0.04987866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146285747047359,"score_gpt":0.2201460487562567,"score_spread":0.2086831912857831,"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."}}