{"id":"W4398405397","doi":"10.7910/dvn/bax2ui/w23n6e","title":"metadata.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; XML; Computer science; Mashup; World Wide Web; Information retrieval; Web 2.0; Web service","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":[0.001782747,0.004150816,0.002267927,0.01024528,0.00170548,0.00560183,0.005022541,0.00375289,0.1937486],"category_scores_gemma":[0.01034735,0.00127901,0.00178461,0.01217761,0.000838247,0.004216529,0.004642697,0.003011985,0.3207546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114432,"about_ca_system_score_gemma":0.004040662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804163,"about_ca_topic_score_gemma":0.02218428,"domain_scores_codex":[0.9975463,0.0003781655,0.0004269667,0.0006428267,0.0005664614,0.0004392942],"domain_scores_gemma":[0.9961307,0.0007189181,0.0003010318,0.001508631,0.0008423264,0.0004983931],"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":[0.00005957502,0.00002014287,0.00031468,0.0006933411,0.00002071,0.00001731599,0.00002481764,0.0000972843,0.0001757438,0.0008718634,0.9948096,0.002894845],"study_design_scores_gemma":[0.0001529844,0.00001958662,0.001020642,0.0003343638,0.0000170019,0.00005081943,0.00007387022,0.0002486834,0.0006387922,0.001599939,0.9958203,0.00002298761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007528972,0.00006416599,0.000131061,0.00009048598,0.00004108778,0.00001716731,0.9964486,0.001726401,0.00140572],"genre_scores_gemma":[0.0002396321,0.00006657415,0.0002804186,0.00005849827,0.000008736876,0.00004399964,0.9983373,0.0002686736,0.0006962405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8062514,"threshold_uncertainty_score":0.6481537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217217796298685,"score_gpt":0.2551298464375391,"score_spread":0.2329576684745522,"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."}}