{"id":"W6887763514","doi":"10.17605/osf.io/fxdz4","title":"Grant Resubmissions Scoping Review","year":2022,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"CINAHL; MEDLINE; Bibliometrics; Inclusion (mineral); PsycINFO; Grey literature; Biomedicine; Audit","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06725051,0.003253509,0.009582954,0.04489781,0.002593895,0.009911611,0.006370464,0.004389006,0.02572485],"category_scores_gemma":[0.3372687,0.002284723,0.01096413,0.04221352,0.002489237,0.01003308,0.007516469,0.003605586,0.00545912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01492236,"about_ca_system_score_gemma":0.06853527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204644,"about_ca_topic_score_gemma":0.0153618,"domain_scores_codex":[0.9057305,0.0265357,0.04039588,0.004292688,0.02115208,0.00189315],"domain_scores_gemma":[0.7367932,0.1360282,0.05073272,0.006872741,0.06746056,0.002112695],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002386463,0.00004318415,0.000950388,0.8468283,0.002873807,0.0001582943,0.0008605096,0.0002606127,0.0001102383,0.001827606,0.02691004,0.1189384],"study_design_scores_gemma":[0.00009929235,0.00008160489,0.001339217,0.9447333,0.004056881,0.0001062162,0.0005643909,0.00005769274,0.0001173055,0.0006610539,0.04815317,0.00002993659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002245731,0.9281712,0.003241726,0.005138725,0.002966783,0.03048963,0.0143109,0.0002215863,0.01321377],"genre_scores_gemma":[0.01464625,0.937527,0.004349315,0.002353146,0.0007844383,0.02958128,0.007998603,0.0001077225,0.002652286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9327495,"threshold_uncertainty_score":0.3556589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043295570453875,"score_gpt":0.4253338655129074,"score_spread":0.3210043084675199,"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."}}