{"id":"W2196021064","doi":"10.25035/pad.2015.002","title":"Cloud-based Meta-analysis to Bridge Science and Practice: Welcome to metaBUS","year":2015,"lang":"en","type":"article","venue":"Personnel Assessment and Decisions","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology; University of Calgary","funders":"SHRM Foundation; Virginia Commonwealth University; National Science Foundation","keywords":"Bridge (graph theory); Computer science; Cloud computing; Data science; Interface (matter); The Internet; Interpretation (philosophy); World Wide Web; Information overload","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003505737,0.0001776741,0.000475474,0.0008816209,0.0004152053,0.001312436,0.0007897988,0.00002955151,0.00003027237],"category_scores_gemma":[0.002286022,0.0001350283,0.0001434661,0.004446231,0.00008930416,0.001015983,0.0006672163,0.00008214221,0.00004426954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007763637,"about_ca_system_score_gemma":0.0004212034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007257383,"about_ca_topic_score_gemma":0.0000464008,"domain_scores_codex":[0.9972175,0.0001347128,0.000288995,0.0007336717,0.001321052,0.0003040317],"domain_scores_gemma":[0.9965971,0.0007425984,0.00009474406,0.0007574948,0.0008457835,0.0009623136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002344798,0.002741834,0.005804786,0.00002584993,0.04084224,0.0002610123,0.02952578,0.02216606,0.00118046,0.6940308,0.160164,0.04302266],"study_design_scores_gemma":[0.001277288,0.0007324682,0.013875,0.000008726093,0.03568717,0.00003967944,0.004412028,0.8078032,0.0001155769,0.001630401,0.1333065,0.001111989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005470076,0.0001743767,0.9771884,0.01541322,0.0001922344,0.0002080965,0.00003572633,0.00006263313,0.00125521],"genre_scores_gemma":[0.7070456,0.00001420096,0.2853226,0.007326801,0.00004190062,0.00002359442,0.00000615318,0.00000701194,0.0002122033],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7856371,"threshold_uncertainty_score":0.9997243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2795515029975171,"score_gpt":0.4648037222280033,"score_spread":0.1852522192304862,"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."}}