{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002099888,0.0003334491,0.0001867017,0.001208469,0.003211139,0.01077091,0.0009027146,0.001455248,0.02521578],"category_scores_gemma":[0.00236771,0.0003500197,0.0002384778,0.002369732,0.003246092,0.006446535,0.001952336,0.001942608,0.004200728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00719122,"about_ca_system_score_gemma":0.007911272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07298333,"about_ca_topic_score_gemma":0.06700179,"domain_scores_codex":[0.9989836,0.0002393974,0.00003895077,0.0001570276,0.0004389135,0.0001420878],"domain_scores_gemma":[0.9987061,0.0003098472,0.00007682902,0.0001342453,0.0005377674,0.0002352479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000780152,0.00003450085,0.001546708,0.00006596276,0.00001539294,0.0000927678,0.001908432,0.00141883,0.001612106,0.8366914,0.0541966,0.1023393],"study_design_scores_gemma":[0.00003005855,0.0000251014,0.002682645,0.00009582278,0.00002122347,0.0001199876,0.002422376,0.002454147,0.002517187,0.1521419,0.8374457,0.0000438469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0210421,0.002309967,0.03413901,0.0213743,0.0007487134,0.00007523843,0.0003195669,0.0007165823,0.9192746],"genre_scores_gemma":[0.3972042,0.003645605,0.04417751,0.003801506,0.0004945468,0.0001671451,0.0004975337,0.0003797417,0.5496323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07298333,"threshold_uncertainty_score":0.145117,"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."}}