{"id":"W2052960370","doi":"10.1002/2014wr016527","title":"What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in <scp>E</scp>arth and <scp>E</scp>nvironmental systems models","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":368,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Canada Research Chairs","keywords":"Sensitivity (control systems); Context (archaeology); Variety (cybernetics); Computer science; Interpretation (philosophy); Artificial intelligence; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0472053,0.002362718,0.004436942,0.00626943,0.002276038,0.01124416,0.004859073,0.006734395,0.004244023],"category_scores_gemma":[0.1471629,0.001227911,0.003840371,0.004830251,0.01797025,0.02328036,0.007505334,0.01247654,0.0005509434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449593,"about_ca_system_score_gemma":0.004082304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004767342,"about_ca_topic_score_gemma":0.002732401,"domain_scores_codex":[0.9477561,0.03830901,0.002116406,0.003998767,0.006360038,0.001459762],"domain_scores_gemma":[0.8398628,0.1335636,0.005772908,0.009647572,0.00960345,0.001549646],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003039464,0.00005203677,0.001731701,0.0004377573,0.0002905713,0.0001581203,0.0008780152,0.1156022,0.0003077212,0.8552115,0.004249012,0.02105105],"study_design_scores_gemma":[0.000005121814,0.0000160486,0.0002694804,0.000239217,0.00002810826,0.00003866847,0.0002693779,0.03995126,0.0001777951,0.9557406,0.003211667,0.000052598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0155113,0.01015451,0.8887158,0.05862042,0.001108382,0.0001836062,0.0002969341,0.0003127256,0.02509625],"genre_scores_gemma":[0.7663793,0.01159026,0.2048527,0.01053961,0.002521666,0.0007804046,0.0002416977,0.0005769276,0.002517453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9527947,"threshold_uncertainty_score":0.2496485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763147605305314,"score_gpt":0.2809119225669656,"score_spread":0.2332804465139124,"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."}}