{"id":"W2304868444","doi":"","title":"The 100-Mile Client Roster","year":2009,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mile; Last mile (transportation); Computer science; Geography; Geodesy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001153064,0.0003282299,0.000302163,0.0001140309,0.001976269,0.001696951,0.01170396,0.0001371421,0.00001046454],"category_scores_gemma":[0.000144499,0.0001971512,0.0001086696,0.001373895,0.0004185758,0.0003462418,0.003097603,0.0003436939,0.0003316888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273769,"about_ca_system_score_gemma":0.00009180065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008176348,"about_ca_topic_score_gemma":0.00003757964,"domain_scores_codex":[0.9972913,0.0002190701,0.0004423975,0.000688156,0.0006322461,0.0007268848],"domain_scores_gemma":[0.9959548,0.0003896728,0.0003005428,0.003060139,0.0002047544,0.00009010747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004932085,0.0001109792,0.000119127,0.000006952764,0.0000242416,0.00002660595,0.00215735,0.003684425,0.0002352148,0.0118363,0.1598129,0.8219365],"study_design_scores_gemma":[0.0002957914,0.00006221605,0.005764277,0.00003619834,0.000007696146,0.00006324609,0.0001196848,0.009098785,0.00008506326,0.002580392,0.9815816,0.0003050335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05457747,0.003282576,0.6937357,0.150777,0.001451823,0.002441925,0.000002830719,0.004496884,0.08923379],"genre_scores_gemma":[0.9554611,0.00002443786,0.008640097,0.009692607,0.0003401598,0.00006045933,0.000002962131,0.00005919582,0.02571894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9008837,"threshold_uncertainty_score":0.9993394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943227998689177,"score_gpt":0.248050433334425,"score_spread":0.2286181533475332,"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."}}