{"id":"W7103203872","doi":"","title":"Advancing Forest Fires Classification using Neurochaos Learning","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Amrita Vishwa Vidyapeetham University","keywords":"Randomness; Random forest; Training (meteorology); Artificial neural network; Chaotic; Deep learning; Training set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.00105919,0.0008113057,0.0007038185,0.002251605,0.0004761585,0.001094466,0.001006475,0.00107565,0.0009765597],"category_scores_gemma":[0.002275776,0.0002293451,0.0008066933,0.0008305351,0.0004981034,0.001161546,0.0008563571,0.001035123,0.0004964231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009045623,"about_ca_system_score_gemma":0.001173132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007144017,"about_ca_topic_score_gemma":0.006885688,"domain_scores_codex":[0.9995757,0.00008343438,0.0000365207,0.0001140084,0.0001176695,0.00007274168],"domain_scores_gemma":[0.9992593,0.0003117116,0.00008973117,0.00005769617,0.000223938,0.00005758502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004637383,0.0004165551,0.03236781,0.0001501407,0.0002068057,0.0003163682,0.0001313115,0.4083394,0.005923893,0.004044497,0.007781451,0.5398581],"study_design_scores_gemma":[0.000007788918,0.00002868028,0.0009123597,0.00001123417,0.000008384708,0.00002614776,0.0000262941,0.9956791,0.001393797,0.001398057,0.0005025596,0.000005638173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5915734,0.005249438,0.3832115,0.001760854,0.0004440819,0.0002395317,0.0009257598,0.004577576,0.01201784],"genre_scores_gemma":[0.9434208,0.0005334046,0.05156131,0.0003092794,0.000123853,0.0000713733,0.001145911,0.00005020202,0.002783978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007144017,"threshold_uncertainty_score":0.01420486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743085268969208,"score_gpt":0.2571548356942548,"score_spread":0.2297239830045627,"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."}}