{"id":"W3111237371","doi":"10.1093/neuonc/noaa222.200","title":"EPID-14. GABRIELLA MILLER KIDS FIRST DATA RESOURCE CENTER: COLLABORATIVE PLATFORMS FOR ACCELERATING RESEARCH IN PEDIATRIC CANCERS &amp; STRUCTURAL BIRTH DEFECTS","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"","keywords":"Interoperability; Computer science; Workflow; Cloud computing; Download; Data science; Resource (disambiguation); World Wide Web; Database","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":[0.01422437,0.0008815011,0.001492387,0.005205102,0.001501383,0.004777396,0.003667169,0.002120742,0.1554146],"category_scores_gemma":[0.05619216,0.001294328,0.001504271,0.005470577,0.0007254011,0.003576781,0.009397094,0.003015175,0.06573758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002630583,"about_ca_system_score_gemma":0.01134658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208038,"about_ca_topic_score_gemma":0.01611833,"domain_scores_codex":[0.9940766,0.001985925,0.0007823059,0.001130906,0.001436801,0.0005872828],"domain_scores_gemma":[0.951367,0.01507153,0.004542686,0.008854827,0.008035778,0.01212817],"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":[0.0007128525,0.00008493908,0.007840009,0.0006014255,0.00009289679,0.0001103075,0.0001915525,0.0002477805,0.0003344519,0.004779318,0.9463747,0.0386297],"study_design_scores_gemma":[0.001261721,0.0001288799,0.01766199,0.0009822825,0.0001299361,0.0001896561,0.0001803231,0.0008640435,0.001241712,0.006814111,0.9704466,0.00009864275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002832334,0.001092325,0.009145827,0.01034753,0.0006872567,0.000947565,0.9063365,0.02280772,0.04580306],"genre_scores_gemma":[0.02164107,0.001790714,0.05207911,0.007083132,0.0009635213,0.003855277,0.8813757,0.008737064,0.02247437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1554146,"threshold_uncertainty_score":0.5199137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5799484253499697,"score_gpt":0.5626859255386454,"score_spread":0.01726249981132433,"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."}}