{"id":"W3202282790","doi":"10.18280/ijsse.110424","title":"Evaluation of the Permanence of Flame Accelerating Material on Burned Material with GC-MS Analytical Techniques","year":2021,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Fiber; Acceleration; Combustibility; Mass spectrometry; Environmental science; Chromatography; Materials science; Chemistry; Combustion; Composite material; Organic chemistry; Physics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006875507,0.0007122013,0.0004616428,0.00177023,0.0005728517,0.0005993996,0.0005029438,0.0007769061,0.002029752],"category_scores_gemma":[0.001235736,0.0002585787,0.0006396649,0.0008625014,0.0006274858,0.0005545312,0.000439494,0.0006284779,0.0006220499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003118321,"about_ca_system_score_gemma":0.0003822684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009586351,"about_ca_topic_score_gemma":0.001758619,"domain_scores_codex":[0.9989107,0.00009496828,0.00004749571,0.0002739922,0.0005904433,0.00008244081],"domain_scores_gemma":[0.999233,0.0002018629,0.0001746633,0.00006712217,0.0002802784,0.00004306788],"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":[0.0003715696,0.00005601746,0.005620146,0.0003191878,0.00008266277,0.0002110025,0.0001880448,0.000200399,0.980523,0.000142613,0.00006651159,0.01221886],"study_design_scores_gemma":[0.000004488434,0.0005988601,0.02395119,0.00004808983,0.0001088342,0.0005906855,0.000228419,0.001131268,0.9700824,0.0001658477,0.003057522,0.0000324262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431571,0.008445697,0.04016889,0.00008744498,0.0001923655,0.0001988397,0.001514995,0.0003058441,0.005928815],"genre_scores_gemma":[0.9266492,0.005640848,0.05778614,0.0001421686,0.00009754053,0.0002571059,0.001226302,0.0001590248,0.008041631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002029752,"threshold_uncertainty_score":0.006790161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297425083478104,"score_gpt":0.2587069839733061,"score_spread":0.2457327331385251,"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."}}