{"id":"W4247769815","doi":"10.1109/issrew.2019.00012","title":"Fast Abstracts Track Committees","year":2019,"lang":"en","type":"article","venue":"","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ericsson (Canada); General Motors (Canada); Carleton University; University of Toronto","funders":"","keywords":"Track (disk drive); Computer science; Operating system","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":[0.01282674,0.001816169,0.001642871,0.006063304,0.004977289,0.011366,0.003082073,0.008345418,0.7940873],"category_scores_gemma":[0.0432433,0.001350123,0.001760193,0.003346108,0.0009017797,0.00389253,0.00526669,0.0040573,0.763469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781736,"about_ca_system_score_gemma":0.01425027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003283211,"about_ca_topic_score_gemma":0.00810449,"domain_scores_codex":[0.988149,0.00172003,0.00072797,0.001084709,0.006824579,0.001493792],"domain_scores_gemma":[0.9181151,0.005505465,0.003449761,0.005147158,0.05011217,0.01767038],"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":[0.0000421994,0.00003855866,0.000108804,0.00007332797,0.000002463586,0.0000199849,0.00001255301,0.00001952914,0.0001544337,0.0004427441,0.9800696,0.01901583],"study_design_scores_gemma":[0.00002580104,0.00002622617,0.0005307064,0.00005640621,0.000002666608,0.00003089173,0.00005281352,0.00007916991,0.0001260521,0.000550038,0.9985116,0.000007511008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001813814,0.003036622,0.007864427,0.05199514,0.06396433,0.003996733,0.01206253,0.005275753,0.8499907],"genre_scores_gemma":[0.001601755,0.0005808386,0.001098885,0.004068187,0.005904927,0.0007706068,0.003391188,0.0006995682,0.9818841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7940873,"threshold_uncertainty_score":0.2937095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513868022506248,"score_gpt":0.4831643660171324,"score_spread":0.3317775637665076,"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."}}