{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037577,0.0005347441,0.0003284186,0.0006280231,0.0004151341,0.0008860953,0.0008486705,0.0007633319,0.001095112],"category_scores_gemma":[0.001283002,0.0005189553,0.0007939409,0.0004596006,0.0005450714,0.0005017811,0.0007075992,0.0009540133,0.0001787215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008663929,"about_ca_system_score_gemma":0.001284872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06447592,"about_ca_topic_score_gemma":0.05678464,"domain_scores_codex":[0.9998761,0.00002580775,0.00000621281,0.00003121652,0.00003899256,0.00002165309],"domain_scores_gemma":[0.9996819,0.0001694258,0.00003612123,0.0000338902,0.00005853909,0.00002010396],"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":[0.000008340222,0.00001410278,0.001184021,0.000007159485,0.000007336086,0.000017775,0.00002866313,0.9938916,0.0006979264,0.0007851396,0.00009294608,0.003264987],"study_design_scores_gemma":[0.000002159616,0.000001481563,0.0001485134,0.000001008626,0.000001395159,0.000002746483,0.000005431046,0.9991992,0.0001769356,0.0003289698,0.0001298009,0.000002447355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5463536,0.0002221716,0.4409068,0.0003360167,0.00004926093,0.00008551751,0.0007510123,0.001367161,0.009928453],"genre_scores_gemma":[0.926542,0.0001105617,0.07135499,0.00002626659,0.00001129022,0.00004645032,0.0003894863,0.0001070851,0.001411892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06447592,"threshold_uncertainty_score":0.1282012,"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."}}