{"id":"W7097566206","doi":"","title":"Child Health Genomics: An Investment in Canada's Future","year":2008,"lang":"en","type":"article","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Investment (military); Mental health; Child health; Genomics; Childhood cancer; Cancer; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.007853789,0.0008941206,0.0006836551,0.002037382,0.004680563,0.009766812,0.00215022,0.008821101,0.09627969],"category_scores_gemma":[0.01382383,0.0004986763,0.0006640843,0.002092959,0.003094807,0.002862126,0.003455553,0.006396862,0.02623107],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03634242,"about_ca_system_score_gemma":0.197436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7277955,"about_ca_topic_score_gemma":0.8380696,"domain_scores_codex":[0.994081,0.0005237831,0.0001358145,0.0003845746,0.003274815,0.001600064],"domain_scores_gemma":[0.946892,0.002351798,0.0006129399,0.001162199,0.01992575,0.0290553],"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":[0.00001027797,0.000007590616,0.0002136557,0.00002526762,0.00000240407,0.00003695561,0.00003457929,0.00003827838,0.00005503944,0.003640725,0.9792222,0.01671305],"study_design_scores_gemma":[0.00001073142,0.000006154417,0.00131927,0.0001123715,0.000003395209,0.00003327399,0.0001513555,0.0000538024,0.00003870227,0.0008896747,0.9973716,0.00000972056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006020613,0.005893545,0.001058953,0.8599374,0.02748111,0.0001252143,0.002078099,0.0006709235,0.1021527],"genre_scores_gemma":[0.01373903,0.01583554,0.008006674,0.3070216,0.01320308,0.0001668508,0.003224061,0.0005953066,0.6382079],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9636576,"threshold_uncertainty_score":0.5476152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553961161113538,"score_gpt":0.25986803753366,"score_spread":0.2343284259225246,"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."}}