{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007264505,0.0000224196,0.00002272304,0.00002017979,0.00001970764,0.00003408967,0.0001907744,0.00001122647,0.0003695209],"category_scores_gemma":[0.00001639219,0.0000115824,0.00001163719,0.00007368302,0.000009499826,0.0002387645,0.00008033228,0.00001158269,0.0005940901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006442568,"about_ca_system_score_gemma":0.00001421033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002061548,"about_ca_topic_score_gemma":8.554902e-7,"domain_scores_codex":[0.9996808,0.00001329837,0.0000448198,0.0000932852,0.00007848729,0.00008935163],"domain_scores_gemma":[0.9997359,0.00002504607,0.000006408073,0.0001595357,0.00002635232,0.00004678079],"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":[6.502753e-7,0.00001716206,0.0001765443,7.762189e-7,0.000002122403,0.000001965587,0.00005898051,0.00002512901,0.001962014,0.7360559,0.01290744,0.2487914],"study_design_scores_gemma":[0.003820366,0.0006228176,0.01022707,0.00007711998,0.00000240973,0.00009946799,0.00002313184,0.4100289,0.03299617,0.09349798,0.4474455,0.0011591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002877658,0.000002606073,0.9133018,0.007383126,0.00006866115,0.00002613165,1.014716e-7,0.0001235955,0.07880621],"genre_scores_gemma":[0.4909149,0.00002144639,0.3671946,0.001294693,0.00004244497,0.000007316915,1.90246e-7,0.000004513264,0.1405199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6425579,"threshold_uncertainty_score":0.7636024,"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."}}