{"id":"W2552781918","doi":"10.1145/2988336.2988343","title":"AdaptCache","year":2016,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.00005547311,0.00002676084,0.00002627697,0.00001678506,0.00002043333,0.00002302464,0.000266834,0.00000971244,0.00003772293],"category_scores_gemma":[0.000009526385,0.00001338087,0.00002204725,0.00003922615,0.000006443667,0.0001733534,0.00006951971,0.00001213937,0.0004527266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007011214,"about_ca_system_score_gemma":0.000008546446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001577259,"about_ca_topic_score_gemma":0.000002916318,"domain_scores_codex":[0.9997149,0.000009014579,0.00003688295,0.00009930341,0.00006371167,0.00007623689],"domain_scores_gemma":[0.9997038,0.00003255558,0.000006955703,0.0002161547,0.00001269223,0.00002782649],"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":[0.000001094619,0.00001315027,0.0006924789,3.897689e-7,0.000004669561,0.000006588262,0.00002721096,4.296089e-7,0.02126168,0.491175,0.01249848,0.4743188],"study_design_scores_gemma":[0.00523454,0.0006791378,0.03269994,0.0001928103,0.00001876012,0.0002634957,0.00009366329,0.07737754,0.07958411,0.1167566,0.6848618,0.002237564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01268775,0.00002793313,0.9484545,0.004541763,0.0001518949,0.00001318453,1.307012e-7,0.0002088599,0.03391397],"genre_scores_gemma":[0.9823408,0.000003876261,0.002433008,0.0004764395,0.00002217944,0.000001090407,1.792288e-8,0.00000109539,0.01472157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.969653,"threshold_uncertainty_score":0.5819035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527495970347084,"score_gpt":0.1888694124754905,"score_spread":0.1735944527720197,"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."}}