{"id":"W2297434009","doi":"10.2172/1081316","title":"Real Time Flame Monitoring of Gasifier and Injectors","year":2012,"lang":"en","type":"report","venue":"","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wood gas generator; Combustor; Injector; Combustion; Coal; Waste management; Char; Environmental science; Natural gas; Nuclear engineering; Engineering; Chemistry; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001578581,0.0001773496,0.0003003164,0.0001306964,0.00001265254,0.00001156877,0.0000640376,0.0002469152,0.0002331175],"category_scores_gemma":[0.00002069858,0.0001718981,0.0000608175,0.00007211393,0.00002277058,0.00004929697,0.00004047029,0.0002154848,0.0000279056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708,"about_ca_system_score_gemma":0.00004661165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317212,"about_ca_topic_score_gemma":0.000004995912,"domain_scores_codex":[0.9992201,0.000006554467,0.0002581354,0.0001057445,0.0002366475,0.0001728029],"domain_scores_gemma":[0.9995663,0.00003236151,0.00004815394,0.0001944533,0.00007918176,0.00007957239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005847977,0.0002782021,0.4312229,0.01319781,0.002984736,0.000085707,0.002678176,0.007477579,0.05270357,0.001783382,0.113717,0.3738124],"study_design_scores_gemma":[0.001654875,0.0002415291,0.5173771,0.002644225,0.001343499,0.0005393712,0.0008220455,0.09015013,0.008157775,0.0001754101,0.371167,0.005727102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3494918,0.001040605,0.0003249873,0.000003629916,0.003290185,0.0001765965,0.00003064216,0.0005419091,0.6450996],"genre_scores_gemma":[0.8985844,0.01689093,0.003124439,0.000001588037,0.001996793,0.00001617216,0.0001118529,0.0002370121,0.07903685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5660628,"threshold_uncertainty_score":0.70098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371563758638352,"score_gpt":0.247498323987116,"score_spread":0.2237826864007325,"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."}}