{"id":"W1036755186","doi":"","title":"Axia NetMedia——建设交互网络减小数字鸿沟","year":2004,"lang":"zh","type":"article","venue":"信息网络","topic":"Technology and Security Systems","field":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003468713,0.0002763131,0.0003449276,0.0001786364,0.0002612947,0.0001721882,0.001597731,0.0005230214,0.00006712155],"category_scores_gemma":[0.00007950627,0.0002773088,0.0001479391,0.000653632,0.0002464095,0.0003978075,0.0004065642,0.0005674293,0.00377744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151893,"about_ca_system_score_gemma":0.0002584957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003426818,"about_ca_topic_score_gemma":0.0002078279,"domain_scores_codex":[0.9978349,0.00006794828,0.0003983404,0.0006594557,0.0003674837,0.0006718906],"domain_scores_gemma":[0.9983677,0.00005462864,0.0001460993,0.00117101,0.00007435097,0.000186265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000642061,0.0001881931,0.0006609838,0.00005174549,0.00005012518,0.0002854368,0.005887477,0.00006645818,0.0002505829,0.9668489,0.003210726,0.02249293],"study_design_scores_gemma":[0.004928228,0.001219816,0.01404191,0.0006807211,0.00008766675,0.0009681776,0.0007264205,0.005836557,0.004941705,0.6159908,0.3484506,0.00212744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3822682,0.02593456,0.3322674,0.07951416,0.0314551,0.00216485,0.00006924468,0.00492084,0.1414057],"genre_scores_gemma":[0.9941971,0.0001048298,0.003001676,0.0008339257,0.0004201401,0.0000159249,0.000003803523,0.00001792154,0.001404658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6119289,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181824030418557,"score_gpt":0.2217671973231767,"score_spread":0.2099489570189912,"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."}}