{"id":"W1969910747","doi":"10.1007/bf03187040","title":"Progress in research and application of water mist fire suppression technology","year":2003,"lang":"en","type":"article","venue":"Chinese Science Bulletin","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Army Research Laboratory; National Research Council Canada; Underwriters Laboratories","keywords":"Mist; Environmental science; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001203744,0.000556513,0.0006149075,0.001272802,0.0003757562,0.001103858,0.0008905813,0.0007795321,0.002508937],"category_scores_gemma":[0.00118425,0.0002294354,0.0005046266,0.002041536,0.0004924604,0.001574545,0.0004452165,0.0006436838,0.0004838315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370256,"about_ca_system_score_gemma":0.002407752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451935,"about_ca_topic_score_gemma":0.002304085,"domain_scores_codex":[0.9994029,0.00006805955,0.00004712414,0.0001472338,0.0002835777,0.00005107829],"domain_scores_gemma":[0.9991474,0.0002916692,0.00008839789,0.00004872674,0.0003786798,0.00004515999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002283101,0.0003025739,0.008296272,0.002995219,0.00005408636,0.000152181,0.0004152884,0.004222386,0.1531132,0.01152961,0.002368379,0.8163224],"study_design_scores_gemma":[0.0001177824,0.002025162,0.02889889,0.0007299752,0.0005557977,0.001342843,0.001372091,0.05553273,0.5296426,0.01285813,0.3667625,0.0001615641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2200326,0.4716205,0.2319975,0.003426782,0.00112235,0.0002612891,0.0003437434,0.0005322454,0.07066302],"genre_scores_gemma":[0.5309112,0.3686606,0.08376793,0.0006653611,0.001082214,0.0001169708,0.0006047416,0.0000766494,0.01411428],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003451935,"threshold_uncertainty_score":0.008393228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113789938389656,"score_gpt":0.2833983957415873,"score_spread":0.2722604963576908,"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."}}