{"id":"W3095524402","doi":"10.1038/s41598-020-75325-w","title":"Assessing ecological uncertainty and simulation model sensitivity to evaluate an invasive plant species’ potential impacts to the landscape","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"U.S. Geological Survey","keywords":"Sensitivity (control systems); Ecology; Simulation modeling; Computer science; Environmental science; Biology; Engineering; Mathematics","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":[0.005767759,0.0006881108,0.0005147777,0.0009868104,0.0005523254,0.00107477,0.0009104047,0.001128417,0.0009482386],"category_scores_gemma":[0.01891372,0.0004687162,0.0008449898,0.000690274,0.0005069379,0.001275328,0.0007997109,0.001445854,0.0000664259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596994,"about_ca_system_score_gemma":0.001009647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464315,"about_ca_topic_score_gemma":0.02035412,"domain_scores_codex":[0.9984928,0.0009410986,0.0001049958,0.000154382,0.0001599014,0.0001468092],"domain_scores_gemma":[0.9789069,0.01709121,0.001440674,0.00104104,0.001094187,0.0004259214],"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":[0.00008614729,0.00007698053,0.01429178,0.00002109536,0.00009743185,0.00003056851,0.00003983735,0.9829103,0.0004946172,0.0006680331,0.0001128394,0.001170289],"study_design_scores_gemma":[0.00001723669,0.00008259647,0.002765699,0.00001024746,0.00002776616,0.00001202918,0.00004707121,0.9955801,0.0006890517,0.000591579,0.0001614622,0.0000151899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860387,0.0001333918,0.01039355,0.0002640669,0.00003361091,0.00006692575,0.0004675912,0.000116065,0.002486047],"genre_scores_gemma":[0.9957696,0.00003112142,0.003838876,0.00003164632,0.000004472699,0.00003037122,0.0001722482,0.00001128305,0.0001102357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02464315,"threshold_uncertainty_score":0.04899943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040123918254328,"score_gpt":0.2928076560155798,"score_spread":0.2526837377612518,"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."}}