{"id":"W4398647284","doi":"10.7910/dvn/9b9ffb/f4wupa","title":"DATA Virtual Site Visit profiling.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Profiling (computer programming); Computer science; Computational biology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0006674713,0.0005464823,0.0006776882,0.0002154711,0.0001702347,0.0008257803,0.01001466,0.0003700351,0.0007677143],"category_scores_gemma":[0.0001882495,0.0005170898,0.0001177537,0.0004129055,0.00005684513,0.001872931,0.01141054,0.0007796453,0.1280093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007243003,"about_ca_system_score_gemma":0.000286672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004088202,"about_ca_topic_score_gemma":0.00009979809,"domain_scores_codex":[0.9961023,0.0002129235,0.0006582888,0.001805873,0.0007115363,0.0005090765],"domain_scores_gemma":[0.9903236,0.0001065991,0.0004335933,0.008749135,0.00007981842,0.000307238],"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":[0.000007394763,0.00005587512,0.000002718682,0.0001205974,0.00007232523,0.0002733291,0.00002024928,3.613061e-7,0.0000174043,0.0005610244,0.9970308,0.001837938],"study_design_scores_gemma":[0.000235973,0.0001215182,0.000002564614,0.0001100135,0.00005048639,0.00004981882,0.00001147516,0.002211447,0.00007479264,0.00004298344,0.9965122,0.0005767744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.626341e-7,0.000002925746,0.06326909,0.00005772736,0.001504659,0.0005063725,0.9339985,0.000506752,0.0001535638],"genre_scores_gemma":[0.000004442243,0.0002773785,0.02141846,0.001199422,0.0008824599,0.00003560709,0.9760312,0.00002943392,0.0001216117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1272416,"threshold_uncertainty_score":0.9997281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336947015251739,"score_gpt":0.2758685292915967,"score_spread":0.2324990591390793,"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."}}