{"id":"W2064906696","doi":"","title":"WUFI-ORNL/IBP Hygrothermal Model","year":2001,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; U.S. Department of Energy","keywords":"Oak Ridge National Laboratory; Moisture; Environmental science; Civil engineering; Architectural engineering; Computer science; Engineering; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005129864,0.0003895136,0.0006043117,0.0003657848,0.0001784783,0.00005878324,0.001317009,0.0001461874,0.001144547],"category_scores_gemma":[0.000008247061,0.0005215441,0.0003067933,0.0004859569,0.0004563704,0.003918698,0.0005438231,0.0002384543,0.0003725521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006696444,"about_ca_system_score_gemma":0.00009344915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369644,"about_ca_topic_score_gemma":0.0002345358,"domain_scores_codex":[0.9983641,0.00003888102,0.0002713017,0.0004235562,0.0003740976,0.0005280728],"domain_scores_gemma":[0.9988399,0.00004781879,0.0001898581,0.0005615539,0.00007578295,0.0002851285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004120368,0.0001702206,0.8867309,0.0002264975,0.0002529288,0.0002373329,0.0001165071,0.09858717,0.00002044328,0.00008481463,0.004403263,0.008757849],"study_design_scores_gemma":[0.001583518,0.0002010307,0.9159411,0.0001301584,0.0001079288,0.00002209226,0.00005063437,0.0261629,0.0002242039,0.00007600761,0.05458193,0.0009184569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709875,0.00006444308,0.002599186,0.0001150928,0.00009032752,0.0003071565,0.0009282124,0.0006017112,0.02430637],"genre_scores_gemma":[0.9885228,0.0002910977,0.002019346,0.00003672484,0.00004111692,2.911774e-8,0.0001857152,0.00007417016,0.008828978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07242426,"threshold_uncertainty_score":0.9997686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121014620448685,"score_gpt":0.1534440812069405,"score_spread":0.1422339350024536,"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."}}