{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001258641,0.0001264833,0.0001016755,0.0000885237,0.000469547,0.002001124,0.0005185548,0.00003768344,0.00001040357],"category_scores_gemma":[0.00367731,0.00008804585,0.00003674415,0.0007973613,0.00003327128,0.2368793,0.0002733891,0.0001417168,0.00001895879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009288015,"about_ca_system_score_gemma":0.0002017496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006264076,"about_ca_topic_score_gemma":1.469669e-7,"domain_scores_codex":[0.9986755,0.00006853537,0.0005422645,0.0001800086,0.0003140881,0.0002196221],"domain_scores_gemma":[0.9966173,0.002530123,0.0002869629,0.0002219571,0.0002202567,0.0001233954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005652999,0.00003510884,0.001125997,0.0001253696,0.00002751226,0.000002598378,0.002693372,0.0005817358,0.00005235642,0.5339611,0.01400481,0.4468248],"study_design_scores_gemma":[0.0002738545,0.0001780244,0.003260527,0.0004703281,0.000006844889,0.00002088948,0.001056804,0.02558831,0.009292622,0.0004371036,0.9591913,0.0002234193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007842507,0.000446167,0.696788,0.267684,0.0003800973,0.001534436,0.000005874498,0.0004562916,0.02486266],"genre_scores_gemma":[0.2932408,0.0002146253,0.4201236,0.2852155,0.0002764375,0.0001931699,0.00002911576,0.00001578968,0.000691006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9451864,"threshold_uncertainty_score":0.9990349,"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."}}