{"id":"W4295066506","doi":"10.1007/s10694-022-01312-4","title":"Review of the NRC Canada Studies on Fire Resistance of Walls: Results, Research Gaps and Design Guidelines","year":2022,"lang":"en","type":"article","venue":"Fire Technology","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Gypsum; Structural engineering; Fire resistance; Engineering; Resistance (ecology); Forensic engineering; Geotechnical engineering; Composite material; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328628,0.0001233848,0.0004065238,0.00007970149,0.0001255062,0.000002564508,0.000492967,0.00006447872,0.00001604186],"category_scores_gemma":[0.005811853,0.00009508891,0.00002441074,0.0006769213,0.0002072709,0.0000146194,0.0003577256,0.0002864519,6.664581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510758,"about_ca_system_score_gemma":0.0001784518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004376132,"about_ca_topic_score_gemma":0.01102098,"domain_scores_codex":[0.9983122,0.0002842112,0.0005531929,0.0002008894,0.0004300609,0.0002194205],"domain_scores_gemma":[0.9982691,0.000578039,0.00012292,0.000658017,0.0003562413,0.00001561476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000713134,0.00000691749,0.0000178643,0.007528618,0.0001021049,0.00001913983,0.00008759066,0.000640639,0.0128342,0.0006923921,0.9730909,0.004908344],"study_design_scores_gemma":[0.0008189995,0.0005884738,0.0001294418,0.01680195,0.00006347864,0.00002800371,0.0007867112,0.00176448,0.262767,0.001901772,0.7138974,0.0004522535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3497666,0.624412,0.000003745787,0.02227959,0.001009175,0.001413456,0.0003733281,0.0002804921,0.0004615417],"genre_scores_gemma":[0.9572193,0.04086207,0.0009459104,0.0002983529,0.00003360641,0.0002702519,0.000004002567,0.00004137623,0.0003250972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6074527,"threshold_uncertainty_score":0.6957752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07222767321348474,"score_gpt":0.3249942070279119,"score_spread":0.2527665338144272,"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."}}