{"id":"W3033558301","doi":"10.1002/fam.2851","title":"Fire hazard of compressed straw as an insulation material for wooden structures","year":2020,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Straw; Thermal insulation; Fire performance; Fire hazard; Cross laminated timber; Flammability; Environmental science; Combustion; Forensic engineering; Waste management; Civil engineering; Engineering; Architectural engineering; Fire resistance; Materials science; Composite material; Environmental protection","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008208617,0.0001633381,0.000344818,0.00001507177,0.00004408239,0.0001219553,0.0001278572,0.0001060655,0.000508518],"category_scores_gemma":[0.00002690187,0.0001474594,0.00002356325,0.00002315729,0.00003294597,0.0002190274,0.00003664523,0.00002128454,0.000006190277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006999118,"about_ca_system_score_gemma":0.000009165979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007308304,"about_ca_topic_score_gemma":9.435176e-7,"domain_scores_codex":[0.9992177,0.00003483845,0.0003287868,0.0001655387,0.00008642635,0.0001666755],"domain_scores_gemma":[0.9996835,0.0000148031,0.0000650817,0.0001292405,0.00003020228,0.00007716969],"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":[0.0002652531,0.00000604342,0.000007005569,0.0006697641,0.00003099337,8.152309e-7,0.0004496124,0.0005444621,0.996218,0.0002098247,0.0003245947,0.00127359],"study_design_scores_gemma":[0.000477879,0.0002440659,0.001081332,0.00003904889,0.00002374859,0.000001960316,0.00002542393,0.001437236,0.9943662,0.0007183513,0.001402855,0.0001818748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978546,0.00005381342,0.0001375828,0.00007170665,0.0005440348,0.0004270186,0.0006716228,0.0001906266,0.00004900247],"genre_scores_gemma":[0.9981825,0.00002603763,0.001068066,0.00008249209,0.0004190827,0.00003001553,0.0001330481,0.00005019467,0.000008572902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001851817,"threshold_uncertainty_score":0.6013219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205890462220573,"score_gpt":0.2320755953415488,"score_spread":0.210016690719343,"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."}}