{"id":"W2094354567","doi":"10.1139/cjfr-2014-0252","title":"A mixed integer program to model spatial wildfire behavior and suppression placement decisions","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Rocky Mountain Research Station; Colorado State University","keywords":"Raster graphics; Integer programming; Integer (computer science); Fire protection; Computer science; Control (management); Prescribed burn; Fire control; Operations research; Environmental science; Geography; Algorithm; Forestry; Engineering; Artificial intelligence; Civil engineering; Cartography","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":[0.001810445,0.001008134,0.0006091226,0.0005518468,0.0004814384,0.001179668,0.00112809,0.0009970051,0.004502941],"category_scores_gemma":[0.00269761,0.0005329926,0.000866092,0.0007054295,0.0005889522,0.0008655495,0.0008217535,0.001278906,0.0004363467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138688,"about_ca_system_score_gemma":0.002064418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008317309,"about_ca_topic_score_gemma":0.01003427,"domain_scores_codex":[0.9994455,0.0002726585,0.00002450414,0.00009912042,0.00008056282,0.0000776302],"domain_scores_gemma":[0.998342,0.001304246,0.0001399785,0.00003184037,0.0001245545,0.00005731956],"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":[0.00004366098,0.00007300384,0.0004292933,0.00005072415,0.00002294738,0.0000517654,0.00004453596,0.9682607,0.0003931826,0.02040235,0.0006764049,0.009551465],"study_design_scores_gemma":[0.00001136043,0.00002781285,0.000032564,0.000005712334,0.000007050482,0.000006628547,0.000009433103,0.9958799,0.0001499246,0.002967367,0.0008996959,0.000002577293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0221377,0.0001494613,0.9662529,0.0003780962,0.00005045525,0.0001664676,0.0004433998,0.0004395896,0.009981874],"genre_scores_gemma":[0.416743,0.0003131561,0.5688897,0.0001807782,0.00005186066,0.001110673,0.00047574,0.0001070782,0.01212807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9916827,"threshold_uncertainty_score":0.01653785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04241593048166364,"score_gpt":0.3201070316723224,"score_spread":0.2776911011906587,"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."}}