{"id":"W248820117","doi":"","title":"网络的典型应用(四)——Archie、WAIS和Gopher","year":2000,"lang":"zh","type":"article","venue":"互联网周刊","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrocution; Medicine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006211429,0.0003563125,0.0007394227,0.0002143066,0.0004049005,0.0003080225,0.0005609117,0.0001861093,0.3688581],"category_scores_gemma":[0.00004469321,0.0004427427,0.000351043,0.0003378628,0.000361669,0.0003784494,0.0001550212,0.000257835,0.4090963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499513,"about_ca_system_score_gemma":0.00003681739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003023276,"about_ca_topic_score_gemma":0.00002327789,"domain_scores_codex":[0.9971412,0.00002166503,0.0008897266,0.001045486,0.00006152849,0.0008403931],"domain_scores_gemma":[0.9986729,0.00005980864,0.0002507115,0.0007626655,0.00002486096,0.0002290401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000658975,0.0003144291,0.01200222,0.00006192772,0.0004022712,0.00002613213,0.00310612,0.0002212726,0.000002150231,0.1602304,0.7930695,0.0304977],"study_design_scores_gemma":[0.0008211446,0.00006030826,0.007169051,0.0000265072,0.00002348424,0.000004935338,0.0004151757,0.0007876335,0.000005899,0.01210206,0.9780166,0.0005671995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04806954,0.006394999,0.00002219824,0.0007897387,0.005025562,0.0002328567,0.00103643,0.00006591428,0.9383628],"genre_scores_gemma":[0.208241,0.003038271,0.0002162257,0.0006830586,0.0005140867,0.00001602593,0.00001798723,0.00004075457,0.7872326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1849471,"threshold_uncertainty_score":0.9998024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364059921645919,"score_gpt":0.194894304168774,"score_spread":0.1584883120041821,"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."}}