{"id":"W4404969197","doi":"10.3390/fire7120454","title":"Mapping Variable Wildfire Source Areas Through Inverse Modeling","year":2024,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Variable (mathematics); Inverse; Geography; Computer science; Environmental science; Remote sensing; Mathematics; Geometry; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002680575,0.0001815619,0.0001615763,0.00001773926,0.000168179,0.0001102259,0.0002460442,0.0001079684,0.001193837],"category_scores_gemma":[0.00004834171,0.0001696774,0.00006945107,0.00044846,0.0000433796,0.000542454,0.000197587,0.0002134233,0.004609443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592984,"about_ca_system_score_gemma":0.00001865002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00445878,"about_ca_topic_score_gemma":0.00006870915,"domain_scores_codex":[0.9986134,0.00005281024,0.0002033819,0.00046045,0.0002981747,0.0003718287],"domain_scores_gemma":[0.9994803,0.00006371764,0.00002923205,0.0003373151,0.000002735704,0.00008666697],"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":[0.00003509844,0.0002408543,0.01883432,0.001103294,0.0002443052,0.0004583526,0.02737952,0.4271139,0.01149792,0.0005622572,0.3383623,0.1741679],"study_design_scores_gemma":[0.00007844094,0.00001680158,0.000107081,0.0002357308,0.000008407525,0.00002651367,0.0001697615,0.8651289,0.00005648478,0.0004734635,0.1335065,0.0001918552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514053,0.0006051157,0.02064724,0.0004948768,0.0008901725,0.000329151,0.000009670609,0.0005813875,0.02503708],"genre_scores_gemma":[0.9927548,0.0000187552,0.002206088,0.0004349098,0.0001893148,0.00003231391,0.0000120112,0.00004681004,0.004304954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.438015,"threshold_uncertainty_score":0.9997192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299198405972661,"score_gpt":0.2084611176645466,"score_spread":0.19546913360482,"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."}}