{"id":"W6987060660","doi":"","title":"SAFITS - Statistical Analysis of Fires in Timber Structures","year":2021,"lang":"en","type":"article","venue":"Diva portal (Dalarna University Library)","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Statistical analysis; Fire protection; Qualitative analysis; Fire safety; Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002787854,0.00009793634,0.0002494049,0.0003135838,0.00003102355,0.00001903488,0.0001709004,0.00007540356,0.001830121],"category_scores_gemma":[0.00001361181,0.0001134189,0.00009116942,0.001072587,0.00004977286,0.0002576098,0.0001198135,0.0001654858,0.000004960471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001682578,"about_ca_system_score_gemma":0.00005829023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007331777,"about_ca_topic_score_gemma":0.0003251723,"domain_scores_codex":[0.9992636,0.00003238776,0.000154004,0.0001629075,0.000186264,0.0002008726],"domain_scores_gemma":[0.9996128,0.0000656399,0.00002006203,0.0001875505,0.00002134748,0.00009257427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008518443,0.0001675299,0.8014143,0.000205095,0.002015327,0.004972876,0.0007263317,0.1053582,0.0006529019,0.07456297,0.005952372,0.003886982],"study_design_scores_gemma":[0.00027817,0.00001123039,0.8998722,0.0000114026,0.0001038951,0.000001781755,0.0001672836,0.09365498,0.0005677546,0.0002410248,0.004920071,0.0001702035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783003,0.000120889,0.0005801822,0.0000579212,0.00004387035,0.00003765543,0.0002928815,0.00005713178,0.02050919],"genre_scores_gemma":[0.9967236,0.00008938184,0.001276873,0.000008124332,0.000007830882,9.594092e-8,0.0005673422,0.00001308632,0.001313697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09845795,"threshold_uncertainty_score":0.9990823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004767162177599569,"score_gpt":0.1833908478180319,"score_spread":0.1786236856404324,"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."}}