{"id":"W2180990229","doi":"10.1371/journal.pcbi.1004512","title":"“Broadband” Bioinformatics Skills Transfer with the Knowledge Transfer Programme (KTP): Educational Model for Upliftment and Sustainable Development","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Common Fund; Government of Canada; National Institutes of Health; National Human Genome Research Institute; Department of Science and Technology, Ministry of Science and Technology, India; International Development Research Centre","keywords":"Population; Knowledge transfer; Work (physics); Knowledge management; Computer science; Public relations; Data science; Engineering; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004647575,0.0001884762,0.0001660277,0.00007447192,0.000209797,0.00005240227,0.0002071058,0.0001461875,0.00000484927],"category_scores_gemma":[0.00009328325,0.0001183581,0.00004453701,0.00009226626,0.000373016,0.00001044249,0.00007887952,0.00009054808,0.000008076639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004646173,"about_ca_system_score_gemma":0.0012606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002777312,"about_ca_topic_score_gemma":0.00002278534,"domain_scores_codex":[0.998706,0.00004061865,0.00031654,0.0002313976,0.0002046137,0.0005008588],"domain_scores_gemma":[0.9988371,0.0001053739,0.00002808213,0.000127555,0.0006686451,0.0002332621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007255552,0.0152885,0.01322526,0.00553278,0.006937594,0.0000092852,0.09863003,0.05852133,0.01465239,0.2280723,0.06831459,0.4835604],"study_design_scores_gemma":[0.01317968,0.006050415,0.003126129,0.00009175378,0.0002065782,0.00008401772,0.007453784,0.6940268,0.01862145,0.01882296,0.2365893,0.00174709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3462209,0.0005702147,0.6483611,0.002753254,0.00005178486,0.001359343,0.00006608422,0.00001630331,0.0006009371],"genre_scores_gemma":[0.9409726,0.00006188072,0.0548161,0.0006060112,0.0001407333,0.0004292298,0.001533879,0.00002085961,0.001418751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6355054,"threshold_uncertainty_score":0.4826504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293178204545916,"score_gpt":0.2869846382271633,"score_spread":0.2576668177725717,"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."}}