{"id":"W1601677373","doi":"10.1007/11912873_1","title":"Internet-Scale Data Distribution: Some Research Problems","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; The Internet; Variety (cybernetics); Scale (ratio); Data science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0034132,0.0006436954,0.0006444284,0.001236181,0.0003716185,0.001437854,0.02218483,0.0005878707,0.00001104694],"category_scores_gemma":[0.0002607259,0.0005961979,0.0000893908,0.002123518,0.00179653,0.001441171,0.02158077,0.002236411,0.0002607421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008031363,"about_ca_system_score_gemma":0.0006653743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573762,"about_ca_topic_score_gemma":0.0003969508,"domain_scores_codex":[0.9916344,0.00007821916,0.0007336493,0.003465863,0.00250139,0.001586523],"domain_scores_gemma":[0.9919335,0.0006427929,0.0002198453,0.00640024,0.0005543065,0.0002493494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006432545,0.0000848752,0.000129556,0.00006788486,0.00001713555,0.0002050003,0.000304255,0.0277015,0.00008930816,0.0551935,0.02891278,0.8872878],"study_design_scores_gemma":[0.0002311241,0.0002976548,0.000225772,0.0008466284,0.000006482435,0.0001076902,1.791287e-7,0.5360169,0.001102255,0.3480502,0.1119768,0.001138319],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006218312,0.0009278511,0.9871237,0.00604615,0.001733226,0.0007845822,0.00007665357,0.0007167296,0.002528941],"genre_scores_gemma":[0.1539911,0.0001258551,0.8338408,0.001850594,0.002662742,0.00009508649,0.0004791194,0.0001352844,0.006819302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8861495,"threshold_uncertainty_score":0.9996489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07702466352739512,"score_gpt":0.308995494229702,"score_spread":0.2319708307023068,"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."}}