{"id":"W4230043107","doi":"10.1158/1538-7445.am2019-2465","title":"Abstract 2465: Genomic harmonization of the Data Resource Center for Gabriella Miller Kids First Pediatric Research Program","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Workflow; Harmonization; Computer science; Ensembl; Data science; Resource (disambiguation); World Wide Web; Genomics; Database; Genome; Biology; Genetics","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":[0.04175339,0.0008557959,0.001306843,0.005340391,0.003481688,0.005960569,0.00693647,0.001411473,0.04182496],"category_scores_gemma":[0.04549589,0.0009965564,0.001574048,0.007064812,0.001123258,0.002866294,0.01099211,0.004069852,0.02143376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006697336,"about_ca_system_score_gemma":0.0342825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02531533,"about_ca_topic_score_gemma":0.02231271,"domain_scores_codex":[0.9734677,0.007363028,0.002563851,0.004894449,0.009519752,0.002191254],"domain_scores_gemma":[0.9388307,0.006509359,0.002765893,0.02250902,0.01977852,0.009606566],"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":[0.001350452,0.0003260578,0.01676008,0.0003252561,0.0001415513,0.0003775776,0.0008873649,0.001897179,0.003947342,0.02009207,0.8528691,0.101026],"study_design_scores_gemma":[0.0004113845,0.0001903846,0.0264647,0.0004095479,0.00006555372,0.0002930836,0.0005895164,0.001839753,0.00643502,0.006229373,0.95697,0.0001016019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04885275,0.001348177,0.1295422,0.03917069,0.003892168,0.009912476,0.5843907,0.04048403,0.1424069],"genre_scores_gemma":[0.04642233,0.0005118379,0.1905804,0.007066349,0.0006234805,0.008113907,0.7118706,0.01075862,0.02405246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04182496,"threshold_uncertainty_score":0.2208156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102894640497465,"score_gpt":0.4063335808418742,"score_spread":0.3034389403444092,"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."}}