{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01182591,0.0004901954,0.001374598,0.0004622146,0.000221219,0.00003242385,0.0009399836,0.0004747032,0.9814664],"category_scores_gemma":[0.1351043,0.0004502014,0.000393618,0.0005178163,0.0002278513,0.00005424318,0.001744104,0.002266645,0.7238189],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007187794,"about_ca_system_score_gemma":0.00920068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005456323,"about_ca_topic_score_gemma":0.00007771359,"domain_scores_codex":[0.9921651,0.001140243,0.0009529164,0.002342434,0.001920865,0.001478428],"domain_scores_gemma":[0.9828212,0.0008958015,0.0005693483,0.007359917,0.0001602879,0.00819342],"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":[0.00009751858,0.000300868,0.0003482676,0.02705367,0.0001324054,0.0003753749,0.00007063562,5.097602e-7,0.00007047666,0.00006236567,0.9343657,0.03712216],"study_design_scores_gemma":[0.0008753292,0.000004468932,0.0001495665,0.0884468,0.0001744693,0.0001424684,0.00001907764,0.000006673172,0.00005280846,0.00007125682,0.9097471,0.0003100284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001037201,0.0009463412,0.00009441935,0.01001334,0.0003886478,0.005942662,0.00005177093,0.0003710508,0.9821814],"genre_scores_gemma":[0.00001429456,0.08650868,0.0005584826,0.01046332,0.0003188562,0.0008686816,0.0001893591,0.0004128185,0.9006655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2576475,"threshold_uncertainty_score":0.999795,"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."}}