{"id":"W6902203714","doi":"10.6084/m9.figshare.26003377.v1","title":"An Analysis of the Fire Performance of Small-Scale Canadian Heritage Hardwood and Softwood","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charring; Hardwood; Softwood; Char; Cone calorimeter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003023204,0.000476621,0.0002804991,0.0008741774,0.001660424,0.0006061176,0.0007631098,0.0003261878,0.001430819],"category_scores_gemma":[0.0003727871,0.0001327758,0.000371751,0.0008958807,0.0004213069,0.0001949605,0.0001930049,0.0002764292,0.0002594915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005208387,"about_ca_system_score_gemma":0.002044874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7075664,"about_ca_topic_score_gemma":0.8954071,"domain_scores_codex":[0.9996762,0.000006731439,0.000005585575,0.00004409732,0.000189535,0.00007785025],"domain_scores_gemma":[0.9996965,0.00003509907,0.00002058173,0.0000145549,0.0001867639,0.00004648399],"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":[0.002339887,0.0008466374,0.3575478,0.00055308,0.0001703232,0.001296464,0.001649821,0.07016701,0.4103909,0.0009352093,0.001530374,0.1525726],"study_design_scores_gemma":[0.00001285342,0.000857126,0.857914,0.00002128735,0.00008515736,0.0002550552,0.001513803,0.03306284,0.1027995,0.00009428381,0.003330793,0.00005322932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977494,0.00006165754,0.000388659,0.000005015923,0.000002710537,0.00002110134,0.0002317068,0.00001283506,0.001526788],"genre_scores_gemma":[0.9970368,0.00007784778,0.0007027675,0.000005229656,7.297293e-7,0.000009064526,0.0004065212,0.000008091711,0.001752976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2924336,"threshold_uncertainty_score":0.5883115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155125333734488,"score_gpt":0.2114557456131612,"score_spread":0.1999044922758163,"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."}}