{"id":"W7028398996","doi":"","title":"Field experience with moisture management - putting principles into practice","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Envelope (radar); Moisture; Building envelope; Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584916,0.0001186894,0.0001000516,0.00002779973,0.00006323012,0.0000708475,0.0001397551,0.00003880664,0.0002757271],"category_scores_gemma":[0.0001013893,0.00009650466,0.00001417569,0.00006810067,0.00001993138,0.0002257826,0.00003033167,0.00008293201,0.00004070217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004058043,"about_ca_system_score_gemma":0.000004999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001146788,"about_ca_topic_score_gemma":0.000002981423,"domain_scores_codex":[0.99933,0.0000294472,0.0001383267,0.0001481821,0.0001518203,0.0002022197],"domain_scores_gemma":[0.9996288,0.00004163714,0.00002659819,0.0002368313,0.00002138776,0.00004473714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000252216,0.0001554449,0.001650127,0.001621575,0.0004902515,0.0004712452,0.01753388,0.04450532,0.8153439,0.05848482,0.00806251,0.05142871],"study_design_scores_gemma":[0.0004063493,0.0001252328,0.0001785532,0.0001874132,0.00003174321,0.00004972158,0.001359006,0.001122347,0.4781384,0.0006742432,0.5173085,0.0004184672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5497019,0.000109194,0.009303275,0.0004379577,0.0002800377,0.0003034634,4.304051e-7,0.0004148335,0.4394489],"genre_scores_gemma":[0.8783804,0.00002598767,0.120869,0.0002333887,0.00003252294,0.00005598543,3.148589e-7,0.00002864556,0.0003737307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5092461,"threshold_uncertainty_score":0.3935346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216323983293349,"score_gpt":0.2272789870775357,"score_spread":0.2151157472446022,"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."}}