{"id":"W2112007194","doi":"10.14778/2536274.2536316","title":"IPS","year":2013,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flexibility (engineering); Computer science; Set (abstract data type); Task (project management); Point of interest; Human–computer interaction; Engineering; Artificial intelligence; Systems engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001430562,0.00008152065,0.00008294974,0.00004445221,0.000064651,0.0001846247,0.001631115,0.00001426695,0.00003816839],"category_scores_gemma":[0.00001953705,0.00005057253,0.00005325889,0.0002481553,0.00003103567,0.000868447,0.001013729,0.00005494911,0.0001141814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179251,"about_ca_system_score_gemma":0.000005384261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003507383,"about_ca_topic_score_gemma":1.968837e-7,"domain_scores_codex":[0.9992115,0.000001902177,0.0001441847,0.0001862675,0.000276464,0.0001796799],"domain_scores_gemma":[0.9995749,0.000008638027,0.0001058999,0.0001890961,0.00008413563,0.00003731002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001863729,0.0001835369,0.004513051,0.0000955266,0.0000662785,3.384251e-7,0.0007398996,0.000002961294,0.02246786,0.6650356,0.1767292,0.1301639],"study_design_scores_gemma":[0.002097636,0.0003560065,0.07011639,0.000269398,0.00007016772,0.00002176281,0.0008692701,0.02800087,0.4608706,0.254145,0.1821075,0.001075399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.396297,0.0004294387,0.01863995,0.04997969,0.003420555,0.00440059,0.00001042683,0.000916278,0.525906],"genre_scores_gemma":[0.9697813,0.00001704115,0.02544217,0.0005109809,0.00006896787,0.00007987505,4.212059e-7,0.000006863508,0.00409241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5734842,"threshold_uncertainty_score":0.3031044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007083229395094147,"score_gpt":0.1779992947752748,"score_spread":0.1709160653801807,"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."}}