{"id":"W4405528901","doi":"10.3390/fire7120482","title":"Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review","year":2024,"lang":"en","type":"review","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Field (mathematics); Machine learning; Artificial intelligence; Convolutional neural network; Flexibility (engineering); Deep learning; Predictive modelling; Support vector machine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007468778,0.0005141373,0.001357875,0.00004408091,0.0002574268,0.00008118282,0.0002432007,0.0002740397,0.0004701588],"category_scores_gemma":[0.0003406804,0.000395959,0.0003993445,0.0003688658,0.00007050124,0.0001367975,0.0003047138,0.0008881952,0.001355476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587274,"about_ca_system_score_gemma":0.00002028277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001374128,"about_ca_topic_score_gemma":0.00003261743,"domain_scores_codex":[0.9976655,0.0002904995,0.0005704172,0.0008046069,0.0002939843,0.0003749495],"domain_scores_gemma":[0.9990249,0.000266771,0.0002971341,0.000262355,0.00000444478,0.0001444544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001046619,0.000007728281,0.00009974496,0.08247546,0.00005807717,0.00001448822,0.0000301216,0.00000178169,9.112966e-8,0.000001841089,0.005274974,0.9120346],"study_design_scores_gemma":[0.0000711309,0.0001431845,0.000006537871,0.07951524,0.001094377,0.0001920564,0.00000203652,0.006597763,3.13591e-8,0.000005184951,0.9120581,0.0003143764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002504036,0.9955042,0.00002808395,0.00008476907,0.0004418362,0.00214057,0.00004507001,0.0002653487,0.00148762],"genre_scores_gemma":[0.00001804728,0.9915793,0.000116126,0.00005572916,0.000266043,0.0007251838,0.0003124157,0.0001291798,0.006797981],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9117203,"threshold_uncertainty_score":0.9998492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155485178792788,"score_gpt":0.2784827954368658,"score_spread":0.262934277557587,"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."}}