{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002236783,0.0006498871,0.000672565,0.0004265971,0.000420644,0.000773856,0.001107674,0.0009993403,0.003053063],"category_scores_gemma":[0.0008001556,0.0005306643,0.0007936728,0.0003856613,0.0002863797,0.0006851786,0.0003136718,0.0005099266,0.0005956653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007633243,"about_ca_system_score_gemma":0.000764096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579325,"about_ca_topic_score_gemma":0.007982408,"domain_scores_codex":[0.9998748,0.00002291246,0.000006392911,0.00003106454,0.00004222107,0.00002252151],"domain_scores_gemma":[0.9996334,0.0001900121,0.00003542742,0.00003659525,0.00008496911,0.00001953026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001739218,0.00002035366,0.0006853561,0.000009788395,0.000006594282,0.00003240694,0.00001129322,0.9954046,0.001353987,0.0003544978,0.0001036436,0.002000137],"study_design_scores_gemma":[0.000003768368,0.00001054522,0.0002355638,0.000001939451,0.000003388569,0.000004577742,0.000002406166,0.9989109,0.0005871658,0.00008827681,0.0001491095,0.000002324044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7060943,0.0002666429,0.2751279,0.0001016962,0.00007450347,0.0001041922,0.0008936952,0.001774796,0.01556237],"genre_scores_gemma":[0.9837373,0.0001148094,0.01073052,0.00001147815,0.000005472479,0.00009813384,0.0003492211,0.0000627811,0.004890244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579325,"threshold_uncertainty_score":0.03140259,"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."}}