{"id":"W3132772847","doi":"10.3899/jrheum.201669","title":"Overview of the Grant Writing Workshop From the GRAPPA 2020 Annual Meeting","year":2021,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Grant writing; Library science; Grant funding; Medical education; Component (thermodynamics); Report writing; Political science; Psychology; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03354399,0.001800365,0.001130869,0.002154533,0.006627035,0.01248075,0.003371964,0.006899893,0.04395287],"category_scores_gemma":[0.01851738,0.001514799,0.00202171,0.001357897,0.001764554,0.004858455,0.01505622,0.0193058,0.02980577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008306896,"about_ca_system_score_gemma":0.02261133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003875251,"about_ca_topic_score_gemma":0.01254115,"domain_scores_codex":[0.9879296,0.005379805,0.0007641509,0.001070154,0.002915701,0.001940609],"domain_scores_gemma":[0.9798441,0.002686079,0.0008914577,0.0004304337,0.003899569,0.01224838],"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":[0.0003658628,0.0007869838,0.0003966999,0.002556972,0.00002693722,0.0007368505,0.005327,0.000566526,0.001954555,0.007635934,0.8405222,0.1391235],"study_design_scores_gemma":[0.00004991049,0.0001432213,0.0007373281,0.001572343,0.000008388487,0.0002460056,0.002607692,0.00008631073,0.0002566594,0.002288905,0.9919443,0.00005887076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01210223,0.04230765,0.04415417,0.4857586,0.1937813,0.01530588,0.004910415,0.003114773,0.1985651],"genre_scores_gemma":[0.08425125,0.06755368,0.1486095,0.2333312,0.057291,0.03812081,0.01239456,0.003098405,0.3553496],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04395287,"threshold_uncertainty_score":0.1773997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105057944470458,"score_gpt":0.3965789102359356,"score_spread":0.2915209657654775,"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."}}