{"id":"W4399303713","doi":"10.3390/f15060951","title":"A Comparative Analysis of Tannin and Commercial Fire Retardants in Wood Fire Protection","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Fire protection; Environmental science; Fire retardant; Engineering; Materials science; Civil engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002106768,0.00008817705,0.0002447497,0.00008196507,0.00003185745,0.00002021485,0.00007239886,0.00005110154,0.000150282],"category_scores_gemma":[0.00001929936,0.00007717608,0.00004948451,0.0009504012,0.00009436925,0.0001453467,0.00005860973,0.0001026156,0.00005631825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009684566,"about_ca_system_score_gemma":0.000005392486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194662,"about_ca_topic_score_gemma":0.03123199,"domain_scores_codex":[0.9992301,0.00008077634,0.0001734614,0.0002207584,0.0001669094,0.0001279227],"domain_scores_gemma":[0.99975,0.00004743497,0.00004247779,0.000120575,0.000003134636,0.00003640211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007649276,0.0001169605,0.9448158,0.0001421005,0.0002897978,0.00004556934,0.006352771,0.00363976,0.004282614,0.00004058247,0.001825269,0.03837227],"study_design_scores_gemma":[0.00008196513,0.00007273127,0.7113074,0.00005969897,0.00005000076,0.000002018685,0.00002392077,0.287642,0.0004069007,0.00004129382,0.0002520554,0.00006006609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998628,0.0001770256,0.00004378826,0.00009498706,0.00007998089,0.0003533635,0.00001985919,0.00002487144,0.0005780746],"genre_scores_gemma":[0.9997761,0.000003484447,0.00003551296,0.000007224156,0.00001243126,0.00004106101,0.000007655476,0.000005074969,0.0001114373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2840022,"threshold_uncertainty_score":0.9864455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590819851950357,"score_gpt":0.2628456336785869,"score_spread":0.2469374351590834,"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."}}