{"id":"W3092879974","doi":"10.1002/fam.2918","title":"Fire resistance of wood stud wall assemblies","year":2020,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Fire resistance; Engineering; Structural engineering; Composite material; Fire performance; Blocking (statistics); Forensic engineering; Materials science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004505854,0.000440069,0.0005124882,0.0003759587,0.0003467914,0.000291499,0.0002954877,0.0002693854,0.001712778],"category_scores_gemma":[0.0006861881,0.0002325797,0.0003916509,0.0001811438,0.0001603824,0.0001966143,0.0002949208,0.0002829271,0.0005341524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161049,"about_ca_system_score_gemma":0.00008984797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183994,"about_ca_topic_score_gemma":0.001961389,"domain_scores_codex":[0.9995233,0.00007003235,0.00003768858,0.00008964727,0.0001804685,0.00009882948],"domain_scores_gemma":[0.9993616,0.0001894242,0.00009541331,0.0001032253,0.0001972661,0.00005304259],"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":[0.001352004,0.0001697112,0.01296496,0.0001458893,0.00005876023,0.0002345094,0.00038958,0.008467225,0.9469085,0.0000541494,0.0002339703,0.02902072],"study_design_scores_gemma":[0.00002535822,0.003882855,0.07926553,0.00002024064,0.00008725245,0.0002872495,0.0002817097,0.007859708,0.9057899,0.00002405594,0.002443339,0.0000327394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977494,0.0001182815,0.001277493,0.000001901691,0.000006333325,0.000009290909,0.00006490311,0.00005211755,0.0007203494],"genre_scores_gemma":[0.996378,0.00005238458,0.00192455,0.000005251611,0.000002093116,0.00001061442,0.000276746,0.00002710181,0.001323201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712778,"threshold_uncertainty_score":0.005729795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159103205115018,"score_gpt":0.204786257698427,"score_spread":0.1931952256472768,"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."}}