{"id":"W6930920842","doi":"10.5281/zenodo.1477106","title":"ekzhu/datasketch: Batch removal of keys from Async MinHashLSH index","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Asynchronous communication; Index (typography); Batch processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002158585,0.002892037,0.001446542,0.00197224,0.0009193351,0.003235625,0.003580476,0.001303076,0.3538747],"category_scores_gemma":[0.007679343,0.001522333,0.0009901616,0.001241972,0.0008157211,0.005362144,0.00459578,0.002198509,0.2390863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922346,"about_ca_system_score_gemma":0.001601585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001764007,"about_ca_topic_score_gemma":0.001913358,"domain_scores_codex":[0.9976246,0.0003077034,0.0002898717,0.0004527168,0.000864455,0.0004606965],"domain_scores_gemma":[0.9936505,0.001131414,0.0002492373,0.003225286,0.001341208,0.0004024073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002593057,0.0001204795,0.001576599,0.001166375,0.0001037814,0.0004611209,0.0003905179,0.0006833241,0.01815464,0.01259204,0.8316028,0.1305553],"study_design_scores_gemma":[0.0003113619,0.0001440689,0.001409151,0.0002592775,0.00006544661,0.0005325796,0.0001115634,0.004708827,0.1105026,0.00947117,0.8723001,0.000183867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008869955,0.00128645,0.1180889,0.0007190123,0.001664058,0.0007486381,0.03878157,0.7299631,0.09987826],"genre_scores_gemma":[0.1486878,0.001242094,0.05844171,0.002584762,0.0008417205,0.001751489,0.08253228,0.4095334,0.2943848],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3538747,"threshold_uncertainty_score":0.9216192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640338230769256,"score_gpt":0.2577516118392907,"score_spread":0.2313482295315982,"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."}}