{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008670863,0.00005895432,0.00009085245,0.0002704526,0.00008978347,0.00001696597,0.0001493562,0.0000590886,0.00002372029],"category_scores_gemma":[0.00006803442,0.00003947343,0.000007299763,0.0008062412,0.0005050969,0.00003461213,0.00003410416,0.0001330521,0.0000303278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002920266,"about_ca_system_score_gemma":0.000009478518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115354,"about_ca_topic_score_gemma":0.000004969737,"domain_scores_codex":[0.9992541,0.00002141898,0.0001457593,0.0001734421,0.0001943239,0.0002109364],"domain_scores_gemma":[0.9996802,0.00001646133,0.00001003549,0.00018587,0.00007096204,0.00003648873],"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":[0.00003427988,0.0001700829,0.1919274,0.0005225783,0.000005111299,0.00001033821,0.002533393,0.0008014578,0.7459459,0.002281928,0.00129624,0.05447138],"study_design_scores_gemma":[0.001497817,0.0002479067,0.09269571,0.0002702227,0.000002144649,0.0001380833,0.001150949,0.08238304,0.6601955,0.003173818,0.1576584,0.0005864714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970395,0.00032104,0.0001020674,0.0005730302,0.00009940917,0.000188425,5.969778e-7,0.00005906417,0.001616854],"genre_scores_gemma":[0.9996526,0.00001002045,0.000193055,0.000002210094,0.000007709325,0.00004525966,5.554774e-7,0.000006035908,0.00008253198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563621,"threshold_uncertainty_score":0.186105,"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."}}