{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009284746,0.001110734,0.000571706,0.001452673,0.0009194796,0.003200688,0.001912624,0.0009014368,0.1176783],"category_scores_gemma":[0.003430796,0.0006135087,0.0006912746,0.001654454,0.00038386,0.003489125,0.002615174,0.001195301,0.06546022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000464173,"about_ca_system_score_gemma":0.0008989076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648898,"about_ca_topic_score_gemma":0.003058121,"domain_scores_codex":[0.9992974,0.0001077915,0.00004726968,0.0002131096,0.0002432839,0.00009117137],"domain_scores_gemma":[0.9986544,0.0002661938,0.00006600242,0.0006032939,0.000289834,0.0001202261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006793531,0.0001396399,0.003614943,0.0004946201,0.00006446804,0.000461779,0.0007982898,0.006412411,0.006080112,0.04274314,0.4596569,0.4788543],"study_design_scores_gemma":[0.00006804213,0.0001221366,0.001914713,0.00008479714,0.00004983541,0.0006776449,0.0003310278,0.03885493,0.01217749,0.02140662,0.9242451,0.00006777337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01444114,0.0004845482,0.4698322,0.000719341,0.0007420331,0.0005073824,0.02317866,0.2633465,0.2267481],"genre_scores_gemma":[0.2406832,0.001283342,0.4738337,0.0009329145,0.0004221266,0.001354722,0.07859316,0.02468853,0.1782083],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8823217,"threshold_uncertainty_score":0,"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."}}