{"id":"W2795252444","doi":"","title":"More and Better Grant Proposals? The Evaluation of a Grant-Writing Group at a Mid-Sized Canadian University.","year":2017,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land grant; Grant writing; Grant funding; Group (periodic table); Grantsmanship; Political science; Higher education; Library science; Public administration; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004699447,0.0001775909,0.0004240822,0.0003485936,0.001763181,0.00003098591,0.0005206429,0.0002487724,0.0004141473],"category_scores_gemma":[0.005451777,0.0001591616,0.0001498992,0.0002150513,0.001033513,0.000512587,0.0003145747,0.0005932116,0.00002319202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131163,"about_ca_system_score_gemma":0.003183384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03442535,"about_ca_topic_score_gemma":0.08553278,"domain_scores_codex":[0.9968048,0.0004218689,0.0001962509,0.0003667506,0.001417433,0.000792933],"domain_scores_gemma":[0.9957408,0.00019879,0.000270798,0.0007203452,0.0005813652,0.002487907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004461961,0.0002915819,0.8500217,0.001299007,0.0004940836,0.0009162467,0.01205327,0.000001916861,0.03729161,0.0002466009,0.003359201,0.08956286],"study_design_scores_gemma":[0.007956165,0.0003132818,0.9781281,0.0005474183,0.0004264814,0.00006830384,0.00388248,0.0002979205,0.000734086,0.00011819,0.007351185,0.0001763746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499146,0.0001999479,0.000005189497,0.04638949,0.00006178753,0.0009419984,0.00007331455,0.00001547265,0.002398191],"genre_scores_gemma":[0.9978377,0.0001131176,0.0002484404,0.000666916,0.00005569402,4.484346e-7,0.00003553403,0.00001591156,0.0010263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281064,"threshold_uncertainty_score":0.9995364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188240601576499,"score_gpt":0.3488274871046267,"score_spread":0.2300034269469768,"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."}}