{"id":"W2128065771","doi":"10.1520/jai102032","title":"Sensitivity of Hygrothermal Analysis to Uncertainty in Rain Data","year":2009,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sensitivity (control systems); Environmental science; Materials science; Uncertainty analysis; Geotechnical engineering; Engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343118,0.00005495796,0.0001601708,0.0001981035,0.000009516521,0.00001193293,0.0003090616,0.00002352781,0.0008929448],"category_scores_gemma":[0.0002324799,0.00004649638,0.00006928267,0.0003241708,0.0000239135,0.0003086428,0.0000783353,0.00009345404,0.00001775095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453583,"about_ca_system_score_gemma":0.00001616907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228459,"about_ca_topic_score_gemma":0.0006606037,"domain_scores_codex":[0.9988323,0.00009174933,0.000404018,0.0001138851,0.0004760547,0.0000820086],"domain_scores_gemma":[0.9994454,0.00007586602,0.0002227916,0.0001652417,0.00003758003,0.00005312125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002595392,0.0003430433,0.6277618,0.000001164412,0.0002563253,0.00007603822,0.0008010881,0.2352019,0.08502637,0.0001425669,0.007150166,0.04297999],"study_design_scores_gemma":[0.0002947759,0.00007078203,0.9700946,0.00001168332,0.00003454907,0.00002168177,0.00003283647,0.02674501,0.001017084,0.0002302079,0.001394258,0.00005257422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874858,0.000003472782,0.008201353,0.001809349,0.00009513667,0.00004266879,0.00003773225,0.000001514949,0.002322954],"genre_scores_gemma":[0.9967285,0.000002189102,0.002762622,0.0002863287,0.00007380144,1.61097e-7,0.00001457612,0.00000207397,0.0001297721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3423327,"threshold_uncertainty_score":0.9777119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672988829718293,"score_gpt":0.2777796611244198,"score_spread":0.2610497728272369,"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."}}