{"id":"W2735368710","doi":"10.1177/0734904115605099","title":"Performance testing of wildland fire chemicals using a custom-built heat flux sensor","year":2015,"lang":"en","type":"article","venue":"Journal of Fire Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ignition system; Combustion; Environmental science; Fire test; Radiant flux; Poison control; Radiant heating; Radiant heat; Test method; Heat flux; Nuclear engineering; Transient (computer programming); Forensic engineering; Automotive engineering; Waste management; Materials science; Engineering; Heat transfer; Composite material; Computer science; Chemistry; Mechanics; Aerospace engineering; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076859,0.0007678717,0.0005428567,0.0007545757,0.0003205198,0.0003450997,0.0008789984,0.0006902069,0.001115296],"category_scores_gemma":[0.001371879,0.0002800536,0.000455698,0.0004991328,0.0003491173,0.000512162,0.0003275675,0.0003732083,0.000270906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003730781,"about_ca_system_score_gemma":0.0004299005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000902031,"about_ca_topic_score_gemma":0.001966326,"domain_scores_codex":[0.9988706,0.0001143009,0.00008758621,0.0002547629,0.0005910843,0.00008160834],"domain_scores_gemma":[0.9987562,0.0003644448,0.0002278909,0.0001480324,0.0004453778,0.00005809336],"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":[0.0002439782,0.0002671269,0.002929185,0.0001594736,0.00002015472,0.00005149937,0.0000689692,0.000683901,0.9831834,0.00008078949,0.0000810276,0.01223046],"study_design_scores_gemma":[0.00001396537,0.001075263,0.006898658,0.000005989269,0.000024438,0.0001141488,0.00002662904,0.004033207,0.9871894,0.0000285,0.0005744218,0.00001528297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707305,0.0003544956,0.1252155,0.00004193625,0.0001331029,0.000626599,0.0005594151,0.0007261773,0.001612302],"genre_scores_gemma":[0.9062741,0.0004550897,0.08870786,0.00008432631,0.00004016484,0.0006140855,0.000419757,0.00008131647,0.003323329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115296,"threshold_uncertainty_score":0.005695045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505085596958254,"score_gpt":0.2736462073866384,"score_spread":0.2285953514170559,"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."}}