{"id":"W2796343592","doi":"10.1145/3173574.3173959","title":"BIGFile","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Computer science; Set (abstract data type); Interface (matter); Information retrieval; User interface; Theoretical computer science; Data mining; Operating system; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002905431,0.00174619,0.001244769,0.002861063,0.00090949,0.005134664,0.005915795,0.001971639,0.08784371],"category_scores_gemma":[0.01941035,0.001392436,0.001834003,0.002640792,0.0008114328,0.009465112,0.006872163,0.002010931,0.04377205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008179632,"about_ca_system_score_gemma":0.001865578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003427017,"about_ca_topic_score_gemma":0.004755689,"domain_scores_codex":[0.9975439,0.0003805005,0.0001992765,0.0005008811,0.00111866,0.0002567504],"domain_scores_gemma":[0.9906194,0.003757459,0.0003782446,0.003448284,0.001308394,0.000488093],"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":[0.001289638,0.0002420385,0.003391493,0.001205146,0.0001698308,0.000420517,0.0007921754,0.006911365,0.004761518,0.03949974,0.4978479,0.4434687],"study_design_scores_gemma":[0.0003658387,0.0003041088,0.002562115,0.0003073254,0.00008050307,0.001257456,0.0003583335,0.07585245,0.01640957,0.09794012,0.8042881,0.0002740993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005330581,0.0008882302,0.5381754,0.001039579,0.0005000607,0.0005643217,0.03594685,0.3910728,0.02648209],"genre_scores_gemma":[0.1203809,0.001374947,0.6505278,0.002082277,0.0004161602,0.001890772,0.1021543,0.07657117,0.04460179],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9121563,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.533359169607457,"score_gpt":0.5087651048447497,"score_spread":0.02459406476270731,"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."}}