{"id":"W2059984251","doi":"10.1002/fam.816","title":"A model to predict fire resistance of non‐load bearing wood‐stud walls","year":2003,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FPInnovations","keywords":"Gypsum; Fire performance; Heat transfer; Fire resistance; Structural engineering; Materials science; Composite material; Thermal insulation; Fire test; Thermal conduction; Engineering; Mechanics; Layer (electronics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00008422974,0.0001117582,0.0001980458,0.00001502991,0.00003587279,0.00002965836,0.00004806705,0.00004600662,0.00003978469],"category_scores_gemma":[0.00001316047,0.00009303539,0.0000174896,0.00003952496,0.00001043048,0.00007139646,0.00001831873,0.00001910199,0.00001196977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001829277,"about_ca_system_score_gemma":0.0000126999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003139643,"about_ca_topic_score_gemma":0.00001537464,"domain_scores_codex":[0.9994943,0.00001031286,0.0001616532,0.0001066487,0.00007974756,0.0001473788],"domain_scores_gemma":[0.9997839,0.000009077463,0.00001705778,0.0001282952,0.00001802501,0.00004360211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001507621,0.00006233867,0.0005637457,0.001063778,0.0002187255,0.00001338067,0.006086489,0.00242132,0.973098,0.0005553684,0.01392077,0.001845289],"study_design_scores_gemma":[0.0006362502,0.0001105604,0.001101429,0.0002915541,0.00005767456,0.000002403198,0.0001012574,0.001125313,0.9876437,0.0004112955,0.008215887,0.0003026616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949812,0.0007578285,0.00004812391,0.00003296086,0.0001421948,0.0001667335,0.00004754788,0.0000652434,0.003758225],"genre_scores_gemma":[0.996264,0.0001513364,0.001275724,0.00001713542,0.00002535509,0.00003509302,0.000003754329,0.00001863915,0.002208922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01454569,"threshold_uncertainty_score":0.3793873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672043651708256,"score_gpt":0.2042282557465646,"score_spread":0.1875078192294821,"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."}}