{"id":"W2292013198","doi":"","title":"ALFA LAVAL S型分油机故障分析及处理","year":2015,"lang":"zh","type":"article","venue":"航海技术","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002831176,0.0004754508,0.0002732502,0.0004626863,0.0005269492,0.0007214394,0.0003560477,0.0003037456,0.002588491],"category_scores_gemma":[0.0001924804,0.0002272058,0.0004040462,0.000384575,0.0003744347,0.0003821598,0.0002473885,0.000443701,0.001289704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009844365,"about_ca_system_score_gemma":0.0009234283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112872,"about_ca_topic_score_gemma":0.008017191,"domain_scores_codex":[0.9997917,0.00001769898,0.00001297453,0.00005271718,0.00007965029,0.00004528963],"domain_scores_gemma":[0.9998879,0.00001157878,0.00002388295,0.00001620002,0.00003792859,0.00002248661],"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":[0.000783529,0.00005249883,0.004048764,0.0001091832,0.00003811788,0.0001721541,0.0001586242,0.0006922788,0.9736872,0.001459584,0.001322909,0.01747529],"study_design_scores_gemma":[0.00005145316,0.0002279774,0.01128978,0.00001407864,0.00004857588,0.0001942846,0.00009167654,0.001195254,0.9354804,0.0004204443,0.05096274,0.00002333194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9420592,0.003186007,0.01304098,0.0005011559,0.0001288258,0.00009472499,0.002513103,0.00122083,0.03725514],"genre_scores_gemma":[0.9462883,0.001797985,0.01392714,0.0001180037,0.00003935029,0.00009335223,0.003713644,0.0002181534,0.03380412],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01112872,"threshold_uncertainty_score":0.02212787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226098378294982,"score_gpt":0.2334165489058628,"score_spread":0.2108067110763646,"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."}}