{"id":"W2944333315","doi":"10.1002/ecs2.2730","title":"Developing an expert elicited simulation model to evaluate invasive species and fire management alternatives","year":2019,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"U.S. Geological Survey","keywords":"Environmental resource management; Simulation modeling; Process (computing); Adaptive management; Resource (disambiguation); Computer science; Ecology; Environmental science; Biology","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":[0.001151109,0.0005326523,0.000410651,0.0005410059,0.0005564385,0.001009926,0.001164968,0.001495484,0.004308256],"category_scores_gemma":[0.003222643,0.0003859567,0.0006216037,0.0003214038,0.0005137218,0.0007391759,0.0007338945,0.0008810691,0.0002730906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716898,"about_ca_system_score_gemma":0.001801571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03872723,"about_ca_topic_score_gemma":0.03072042,"domain_scores_codex":[0.9996628,0.000166546,0.00001881747,0.00005221107,0.00005462627,0.00004507723],"domain_scores_gemma":[0.9980329,0.001372027,0.0001657975,0.00008082453,0.0002586301,0.00008977074],"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":[0.00002024744,0.00002660686,0.001101601,0.000008307797,0.00000784462,0.00002649689,0.00002086209,0.9965551,0.0002335235,0.001060054,0.0001008432,0.000838625],"study_design_scores_gemma":[0.000009909607,0.00001014245,0.0001065346,0.00000261277,0.000003059314,0.000002207091,0.00001112736,0.9992519,0.0001054098,0.0003234042,0.000171485,0.000002200408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017148,0.0001112986,0.2609265,0.0008837787,0.00006921175,0.0004172719,0.001449363,0.0006988127,0.03372914],"genre_scores_gemma":[0.9617227,0.00004364399,0.03461682,0.00007584713,0.000008230399,0.0002508003,0.0003650202,0.00002759239,0.002889356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03872723,"threshold_uncertainty_score":0.0770036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742410920405388,"score_gpt":0.2799383325321084,"score_spread":0.2525142233280546,"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."}}