{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001547239,0.0001379923,0.0002007431,0.0003756098,0.00007650305,0.0008188448,0.001356426,0.0001331378,0.03175033],"category_scores_gemma":[0.0003051377,0.00009163671,0.000165738,0.000243266,0.00006342615,0.0002535408,0.001718837,0.0001724997,0.02302906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002112409,"about_ca_system_score_gemma":0.00005185278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002270684,"about_ca_topic_score_gemma":0.00001606991,"domain_scores_codex":[0.9975604,0.0000409591,0.000536762,0.0003492137,0.001359673,0.0001529344],"domain_scores_gemma":[0.9983562,0.0001145454,0.000241193,0.0008547577,0.000358324,0.00007493855],"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":[0.000003256231,0.0000122379,0.002888888,0.000003050678,0.000006572491,0.000001168929,0.000168863,0.00001965502,0.000002396722,0.002047127,0.9784205,0.01642631],"study_design_scores_gemma":[0.0001137239,0.00001961272,0.03086283,0.00001399112,0.00001758715,7.308599e-7,0.0003927872,0.005617911,0.0001085543,0.05759185,0.9049666,0.0002938403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2361966,0.00002800438,0.01007628,0.001666088,0.002698747,0.0002926529,0.00005799444,0.0002042668,0.7487794],"genre_scores_gemma":[0.633504,0.0000132276,0.007486607,0.002503238,0.0007236151,0.00005100371,0.00008706508,0.00001590234,0.3556154],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3973074,"threshold_uncertainty_score":0.9777316,"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."}}