{"id":"W2140492224","doi":"10.1109/ccece.2007.61","title":"A Simulation Study of Data Distribution Strategies for Large-Scale Scientific Data Collaborations","year":2007,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scalability; Computer science; Data science; Context (archaeology); Dissemination; Scale (ratio); Data modeling; Set (abstract data type); Data set; Database; 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":[],"consensus_categories":[],"category_scores_codex":[0.002154341,0.0001028733,0.0001417703,0.0001475561,0.0003087971,0.0004929494,0.004131724,0.00005586566,0.000002454181],"category_scores_gemma":[0.0003533846,0.00009551063,0.00001034519,0.002079066,0.00004840958,0.002556533,0.002755821,0.00005845778,0.000005753671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003640585,"about_ca_system_score_gemma":0.0001721674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000276755,"about_ca_topic_score_gemma":0.005079933,"domain_scores_codex":[0.9981601,0.00002453613,0.0003556271,0.0007698652,0.0003821556,0.0003076679],"domain_scores_gemma":[0.9949528,0.0003241546,0.0001139837,0.004096727,0.0004641645,0.00004817753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001471721,0.006917023,0.008296324,0.00009677788,0.0001949735,0.00001138263,0.007737738,0.2770209,0.003062078,0.3717924,0.2256947,0.09902854],"study_design_scores_gemma":[0.0004056809,0.0001843195,0.003013729,0.000006169244,0.00001421473,2.885909e-7,0.00516481,0.9694923,0.0002167494,0.002044716,0.01932521,0.0001318194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07753477,0.0000182566,0.9192005,0.0003522219,0.0002489746,0.0008707154,0.001362818,0.0003369113,0.00007486382],"genre_scores_gemma":[0.8662126,2.526432e-7,0.1318692,0.00001434463,0.00002687056,0.00001115338,0.001772688,0.00000429344,0.00008853372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7886779,"threshold_uncertainty_score":0.767784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221721149339915,"score_gpt":0.3773724618456438,"score_spread":0.2552003469116524,"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."}}