{"id":"W1523948343","doi":"10.18438/b8kk5s","title":"Navigating the Road to Success: Guidelines for Preparing Competitive Grant Proposals","year":2007,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"","keywords":"Timeline; Work (physics); Grant writing; Public relations; Best practice; Process (computing); Key (lock); Grant funding; Political science; Computer science; Sociology; Library science; Engineering ethics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":["metaresearch"],"category_scores_codex":[0.361208,0.003596768,0.002812838,0.01822937,0.01779398,0.03625328,0.01637299,0.02408908,0.01750183],"category_scores_gemma":[0.4589077,0.004057044,0.004583227,0.01414098,0.0157683,0.02568631,0.02235019,0.01749676,0.02269677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02137154,"about_ca_system_score_gemma":0.1309866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304482,"about_ca_topic_score_gemma":0.03976493,"domain_scores_codex":[0.6524957,0.2276373,0.06199995,0.004438804,0.04322619,0.01020213],"domain_scores_gemma":[0.4571216,0.2559946,0.04033346,0.02260697,0.1768321,0.04711137],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001692087,0.001512489,0.004508262,0.005372866,0.0001009524,0.003925163,0.04621533,0.002917766,0.002537983,0.07360622,0.4352956,0.4238383],"study_design_scores_gemma":[0.0004346739,0.0006221397,0.004775393,0.01139623,0.0001079067,0.00163354,0.04561586,0.00470919,0.002523058,0.1271479,0.8002151,0.0008191527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01401952,0.008873004,0.4093082,0.2790714,0.007176962,0.1656172,0.001012898,0.00772462,0.1071962],"genre_scores_gemma":[0.01286368,0.003189539,0.933018,0.005255142,0.0004225826,0.03562887,0.0003723042,0.0004304614,0.008819451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.638792,"threshold_uncertainty_score":0.7877443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203860768338113,"score_gpt":0.3160583258273315,"score_spread":0.2840197181439503,"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."}}