{"id":"W2987995305","doi":"10.12034/j.issn.1009-606x.219103","title":"O 2 /CO 2 气氛中水蒸气预混CH 4 燃烧特性与烟气余热梯级利用方案","year":2019,"lang":"zh","type":"article","venue":"NPARC","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002049255,0.0003385365,0.000303455,0.00004082539,0.00025515,0.00007188942,0.000563062,0.0002162077,0.2484421],"category_scores_gemma":[0.00001407065,0.000315132,0.0001899396,0.0001919617,0.0003572629,0.0002587128,0.0003334303,0.0003739967,0.109942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003327694,"about_ca_system_score_gemma":0.00001711315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319745,"about_ca_topic_score_gemma":0.000009152427,"domain_scores_codex":[0.9974773,0.00006633645,0.0003454383,0.0006309907,0.0006489406,0.0008309789],"domain_scores_gemma":[0.9985709,0.00006043265,0.0001124226,0.0008147054,0.00000230358,0.0004392844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003106434,0.0003899758,0.0928678,0.00004983803,0.000038224,0.00001595952,0.0008236,0.0004023666,0.7156379,0.004420056,0.1676335,0.0176898],"study_design_scores_gemma":[0.001117056,0.0004219497,0.2379571,0.0001139132,0.00006011311,0.00003188703,0.001029047,0.001228853,0.01404489,0.01078874,0.7321585,0.001047955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3988341,0.00005839721,0.000009673901,0.001535946,0.0004146823,0.0002630717,0.00004857188,0.00003308336,0.5988024],"genre_scores_gemma":[0.8932323,0.0003715764,0.0005669923,0.001460695,0.0001950999,0.000009594526,0.0000185624,0.00004749949,0.1040976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.701593,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008653291309108895,"score_gpt":0.2320155096361452,"score_spread":0.2233622183270363,"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."}}