{"id":"W7132940879","doi":"","title":"Canada's Contribution to Neglected Tropical Disease Research: A Co-authorship Network Analysis","year":2014,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Universidad Autónoma del Estado de México; Grand Challenges Canada; Pan American Health Organization; Drugs for Neglected Diseases initiative; United States Agency for International Development; International Development Research Centre; Foreign Affairs and International Trade Canada; World Health Organization; National Institutes of Health; Public Health Agency of Canada","keywords":"Grey literature; Global network; Neglected tropical diseases; Latin Americans; Network analysis; Global health; Developing country; Social network analysis; Collaborative network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007803367,0.0003538099,0.0006495261,0.02637145,0.00471364,0.007997427,0.0009956692,0.0007738737,0.006815403],"category_scores_gemma":[0.05277401,0.0002753902,0.0006332817,0.05806967,0.001481939,0.002017293,0.003091133,0.0006138319,0.0004621535],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02409643,"about_ca_system_score_gemma":0.07700391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6759622,"about_ca_topic_score_gemma":0.719511,"domain_scores_codex":[0.9912961,0.001813788,0.0006647193,0.0009292704,0.004570385,0.0007257868],"domain_scores_gemma":[0.9337508,0.03135176,0.007925301,0.001944793,0.02020407,0.004823239],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001916775,0.00005466112,0.5668247,0.005068129,0.0009429647,0.001899938,0.02492707,0.003861808,0.0007289766,0.0516048,0.05424302,0.2896522],"study_design_scores_gemma":[0.00006005108,0.00008047364,0.5366195,0.004466247,0.001650605,0.001623943,0.0436879,0.02020465,0.001328787,0.02059205,0.3695363,0.0001495121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5818023,0.0450054,0.03371916,0.04036267,0.0009525907,0.001635878,0.05790879,0.0006048926,0.2380085],"genre_scores_gemma":[0.939613,0.01197146,0.02844391,0.0005938165,0.0001338392,0.0003001329,0.005799059,0.00008000594,0.01306472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9921966,"threshold_uncertainty_score":0.6518923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568572791890225,"score_gpt":0.4575183307608076,"score_spread":0.4018326028419054,"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."}}