{"id":"W2298000669","doi":"10.1016/j.atg.2016.03.003","title":"Limited resources of genome sequencing in developing countries: Challenges and solutions","year":2016,"lang":"en","type":"article","venue":"Applied & Translational Genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Sharjah","keywords":"Developing country; Human Development Index; Gross national income; Life expectancy; Per capita; Per capita income; Business; Economic growth; Human development (humanity); Economics; Population; Environmental health; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02612491,0.001401107,0.00197561,0.003524267,0.002209494,0.005122793,0.005056056,0.004729819,0.01410367],"category_scores_gemma":[0.05824308,0.0007608569,0.001019156,0.005456365,0.003917753,0.009035859,0.006422063,0.005351828,0.003967565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530616,"about_ca_system_score_gemma":0.01710865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091265,"about_ca_topic_score_gemma":0.00908393,"domain_scores_codex":[0.9870651,0.006979971,0.001088444,0.001666815,0.002165715,0.001034067],"domain_scores_gemma":[0.9076343,0.06011771,0.009188797,0.003590313,0.01252207,0.006946951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00067735,0.0003198428,0.03402122,0.01425973,0.0004296774,0.002462249,0.002921264,0.01260438,0.003861989,0.06864249,0.1505265,0.7092732],"study_design_scores_gemma":[0.000190621,0.0005826851,0.02780143,0.02316938,0.0004893669,0.004591038,0.0172324,0.01318994,0.00344715,0.2441717,0.6647332,0.0004012808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03179243,0.208519,0.07706811,0.6445488,0.005293102,0.0003416023,0.004885497,0.001089496,0.02646209],"genre_scores_gemma":[0.3161741,0.3730452,0.2053739,0.07347222,0.01061389,0.002278394,0.009902088,0.0005869591,0.008553242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02612491,"threshold_uncertainty_score":0.1381634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944276901539231,"score_gpt":0.2519456173907962,"score_spread":0.2125028483754039,"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."}}