{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088866,0.001092303,0.001456177,0.002627052,0.0002272788,0.001050895,0.001094209,0.001340801,0.004386664],"category_scores_gemma":[0.002652709,0.000466323,0.001057487,0.003898563,0.0003771292,0.001706677,0.0007197847,0.001524346,0.001700364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588551,"about_ca_system_score_gemma":0.001771249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494876,"about_ca_topic_score_gemma":0.003212519,"domain_scores_codex":[0.9997132,0.0000577623,0.00004776317,0.00006608696,0.00009430422,0.00002085281],"domain_scores_gemma":[0.9986253,0.0009540709,0.0001183097,0.00003276832,0.0002286237,0.00004098119],"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":[0.00004411928,0.00007493499,0.0003549123,0.03038759,0.000233267,0.00006913587,0.00004611929,0.00171175,0.0004671705,0.004464247,0.01930643,0.9428402],"study_design_scores_gemma":[0.00003259777,0.0002239232,0.002113658,0.02393666,0.0007923417,0.0005558837,0.00009061892,0.002016169,0.0008060163,0.008064838,0.9612944,0.00007283642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001360751,0.9980766,0.0006346135,0.000270078,0.0001255968,0.000007425676,0.00004379355,0.00001350586,0.0006924139],"genre_scores_gemma":[0.0009489447,0.997735,0.0006723038,0.0001320132,0.0001343685,0.00001031413,0.00006226088,0.000003939304,0.0003007427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004386664,"threshold_uncertainty_score":0.01467484,"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."}}