{"id":"W2134854362","doi":"10.1590/s1726-46342010000300020","title":"Reforzando las capacidades en investigación en informática para la salud global en la región andina a través de la colaboración internacional","year":2010,"lang":"es","type":"article","venue":"Revista Peruana de Medicina Experimental y Salud Pública","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fogarty International Center; Universidad Peruana Cayetano Heredia; Johns Hopkins University; University of Washington","keywords":"Latin Americans; Globe; Health informatics; Political science; Population; Informatics; Library science; Public health; Medicine; Nursing; Environmental health; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01228957,0.001422714,0.002192753,0.0005610638,0.00105804,0.000475179,0.001777963,0.002915831,0.001343874],"category_scores_gemma":[0.004573536,0.001289131,0.0004683645,0.001283786,0.001946494,0.0006155391,0.0006419336,0.00661819,0.0004708464],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005999961,"about_ca_system_score_gemma":0.008653767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004363571,"about_ca_topic_score_gemma":0.0003423015,"domain_scores_codex":[0.9789469,0.0119459,0.002823525,0.001436449,0.001693411,0.003153883],"domain_scores_gemma":[0.9872649,0.006842146,0.001200676,0.001629384,0.0002850453,0.002777811],"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":[0.002409248,0.002011282,0.2543376,0.007591624,0.0009706639,0.00119089,0.08892303,0.000002428258,0.07507034,0.4900192,0.06869543,0.008778227],"study_design_scores_gemma":[0.006090841,0.001541804,0.05876421,0.006230711,0.0003034401,0.0024911,0.01960845,0.0006359105,0.001933957,0.0004558973,0.9005045,0.001439164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387994,0.01205557,0.0002332683,0.01199071,0.001481331,0.00344491,0.0004851013,0.0005414314,0.03096821],"genre_scores_gemma":[0.9855008,0.003006652,0.002144352,0.003059739,0.003571961,0.0009794092,0.0001834372,0.0002600781,0.001293551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8318091,"threshold_uncertainty_score":0.9998523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706974921480638,"score_gpt":0.4304269667201372,"score_spread":0.4133572175053309,"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."}}