{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007091225,0.00162171,0.0009671463,0.003378381,0.0006425912,0.002164602,0.001646309,0.001359311,0.1238429],"category_scores_gemma":[0.004318818,0.0007366212,0.0007634906,0.005601108,0.0003036055,0.001411639,0.001582918,0.001629688,0.1559774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337439,"about_ca_system_score_gemma":0.001971503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257938,"about_ca_topic_score_gemma":0.03658276,"domain_scores_codex":[0.9991896,0.00007546997,0.00009993533,0.0002148353,0.0002345634,0.0001856882],"domain_scores_gemma":[0.9972095,0.0005494594,0.0003239415,0.0007225717,0.0007902508,0.0004042031],"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":[0.0000346784,0.00002006663,0.001093047,0.0001979655,0.000009508654,0.000009643659,0.0000147956,0.0001277285,0.00008984889,0.000276046,0.9965809,0.001545706],"study_design_scores_gemma":[0.0002189725,0.00003677085,0.0107007,0.0002283464,0.00002045931,0.00007758826,0.00016637,0.0006188605,0.000767294,0.001007989,0.9861228,0.00003385642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009981947,0.000007686122,0.00002159398,0.00002616567,0.00001075816,0.000004834498,0.999256,0.0001787291,0.0003945035],"genre_scores_gemma":[0.0004875136,0.00001726867,0.0001349238,0.00003292748,0.000005134799,0.0000268509,0.9983765,0.00005953396,0.0008592054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8761571,"threshold_uncertainty_score":0.4142957,"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."}}