{"id":"W7073862857","doi":"","title":"Harnessing genomics to improve health in India – an executive course to support genomics policy","year":2004,"lang":"en","type":"article","venue":"TSpace","topic":"Glass properties and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children; Fogarty International Center; International Development Research Centre; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute; University of Toronto; World Health Organization; GlaxoSmithKline","keywords":"Genomics; Health care; MEDLINE; Course (navigation); Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009834251,0.0007446507,0.0004489546,0.0007748707,0.005220683,0.008387093,0.001966613,0.0133452,0.007849243],"category_scores_gemma":[0.008957702,0.0005336308,0.000599363,0.0009269844,0.003024131,0.003500616,0.005307536,0.01368819,0.002038222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006867738,"about_ca_system_score_gemma":0.07110909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03045003,"about_ca_topic_score_gemma":0.05688796,"domain_scores_codex":[0.99503,0.0007248236,0.0001943127,0.0002256684,0.001440986,0.002384232],"domain_scores_gemma":[0.9835829,0.003182864,0.0006405984,0.0006800141,0.002624275,0.009289379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000213318,0.0005370068,0.00316918,0.000265453,0.00005982778,0.001083501,0.001799052,0.001247816,0.006244564,0.1010503,0.8329653,0.05136487],"study_design_scores_gemma":[0.00007773327,0.0001979125,0.007690792,0.0001445806,0.0000424928,0.0001882245,0.002000802,0.0004581714,0.002902292,0.01244561,0.9737896,0.00006172075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01239566,0.003931743,0.001181777,0.9156619,0.01801591,0.0001454349,0.0001711936,0.0001707668,0.04832567],"genre_scores_gemma":[0.1708188,0.009610096,0.004412792,0.5331415,0.01293624,0.0002055566,0.0003916901,0.000214519,0.2682689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03045003,"threshold_uncertainty_score":0.06054556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488376058524994,"score_gpt":0.3450723553597722,"score_spread":0.3201885947745222,"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."}}