{"id":"W2517199428","doi":"10.1145/2970398.2970430","title":"Total Recall","year":2016,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mars Exploration Program; Recall; Cache; Information retrieval; Martian; Latency (audio); World Wide Web; Computer network; Astrobiology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002813224,0.001509728,0.00182384,0.002108859,0.001645952,0.00434213,0.002592206,0.001397028,0.0576345],"category_scores_gemma":[0.02033096,0.0004604422,0.001608371,0.002811216,0.001299918,0.006857625,0.00273964,0.001468724,0.01555644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724921,"about_ca_system_score_gemma":0.002414227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003324579,"about_ca_topic_score_gemma":0.003343697,"domain_scores_codex":[0.995068,0.0008276036,0.0005175524,0.001479478,0.001444659,0.0006627458],"domain_scores_gemma":[0.9919494,0.002613947,0.0004171804,0.003112613,0.001668235,0.0002385684],"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":[0.001182944,0.0003508784,0.009060083,0.001608837,0.0003724996,0.0003248736,0.0007381614,0.02069998,0.00326117,0.2296132,0.09268314,0.6401041],"study_design_scores_gemma":[0.0002690036,0.0009471213,0.005830042,0.0003615513,0.000528986,0.002434059,0.0008495796,0.06669673,0.008255547,0.7096497,0.2040061,0.0001715942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09648488,0.01444427,0.5104311,0.005172801,0.001913107,0.00104504,0.01681194,0.006734831,0.346962],"genre_scores_gemma":[0.7544155,0.005514788,0.09654372,0.00168962,0.001074406,0.0008806675,0.01598664,0.001125438,0.1227691],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0576345,"threshold_uncertainty_score":0.1928066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610766868185716,"score_gpt":0.2363649852544086,"score_spread":0.2202573165725514,"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."}}