{"id":"W7008251663","doi":"","title":"Bibliometric Analysis and Funding Success to Evaluate an Organization’s Research Grant Decisions","year":2016,"lang":"en","type":"other","venue":"Mspace (University of Manitoba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Scopus; Grant funding; Productivity; Identification (biology); Government (linguistics); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05236739,0.001010111,0.002404703,0.1327693,0.002012403,0.008768675,0.001568625,0.0008397819,0.004662889],"category_scores_gemma":[0.1796011,0.0003271636,0.002787299,0.1568826,0.001983683,0.006530597,0.00442221,0.0008660445,0.001152967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005864613,"about_ca_system_score_gemma":0.00892102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006852466,"about_ca_topic_score_gemma":0.007061786,"domain_scores_codex":[0.9278236,0.01386453,0.01457109,0.002265513,0.0398177,0.001657613],"domain_scores_gemma":[0.7301563,0.1409441,0.06103842,0.008165851,0.05591243,0.003782869],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004185115,0.0003239998,0.7868587,0.004032087,0.002660023,0.0001952379,0.004314601,0.004116271,0.000611634,0.009276577,0.01421435,0.1729781],"study_design_scores_gemma":[0.00009363359,0.000569634,0.9182012,0.00212715,0.001356906,0.0003943202,0.01363437,0.01202299,0.00188606,0.00868213,0.04075758,0.0002740518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8594405,0.01141772,0.01388514,0.003957788,0.0005458737,0.002503441,0.02230804,0.0006165877,0.0853248],"genre_scores_gemma":[0.9769548,0.003259876,0.008987138,0.0001022071,0.0003217992,0.001439013,0.006354344,0.00008108018,0.002499742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9476326,"threshold_uncertainty_score":0.2769485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09375312281709096,"score_gpt":0.3415261978001311,"score_spread":0.2477730749830401,"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."}}