{"id":"W2080478326","doi":"10.1203/00006450-200301000-00004","title":"Genomics and Pediatric Research","year":2003,"lang":"en","type":"review","venue":"Pediatric Research","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Genome Canada; Howard Hughes Medical Institute","keywords":"Human genome; Hyperbole; Genome; Genomics; Data science; Computational biology; Biology; Computer science; Genetics; Gene; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001996826,0.001802766,0.002778149,0.003687748,0.0007850728,0.002550749,0.001656231,0.003254375,0.004639674],"category_scores_gemma":[0.002518893,0.0006013798,0.0005731504,0.004146968,0.002644426,0.00378226,0.001752785,0.006139381,0.003236638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212324,"about_ca_system_score_gemma":0.003092697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003424707,"about_ca_topic_score_gemma":0.007622624,"domain_scores_codex":[0.9994307,0.0001759399,0.00005984069,0.0000858873,0.0001976085,0.00005000506],"domain_scores_gemma":[0.9990616,0.000518562,0.00005591916,0.00004977809,0.0002074582,0.0001065828],"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":[0.0001087416,0.00009198587,0.000229912,0.005851182,0.00007186818,0.000625234,0.0001603756,0.000396478,0.0007549272,0.01946863,0.2100491,0.7621914],"study_design_scores_gemma":[0.00002157461,0.0000165617,0.0001880843,0.001547551,0.00002734495,0.001039984,0.00007118064,0.00004566535,0.0000639686,0.004808583,0.9921598,0.000009807506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003120824,0.994469,0.0002747509,0.001089762,0.00188358,0.000006868715,0.00000759517,0.00001348606,0.002223704],"genre_scores_gemma":[0.0004169729,0.9927565,0.0005789366,0.001792494,0.001982415,0.00001549309,0.00002446173,0.000004228158,0.002428468],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004639674,"threshold_uncertainty_score":0.01552129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065543702619734,"score_gpt":0.4757409947069437,"score_spread":0.2691866244449703,"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."}}