{"id":"W3047119549","doi":"10.1158/1538-7445.pedca19-ia17","title":"Abstract IA17: From functional genomics to new targets in pediatric oncology","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Pediatric cancer; Medicine; CRISPR; Neuroblastoma; Targeted therapy; Pediatric oncology; Genomics; Computational biology; Genome; Bioinformatics; Cancer research; Oncology; Biology; Internal medicine; Genetics; Gene; Cell culture","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":[0.001047679,0.000558398,0.0005566566,0.0009645164,0.0002899714,0.001215672,0.0006568891,0.0004459103,0.007643143],"category_scores_gemma":[0.0004644432,0.0002398569,0.0003359278,0.001041881,0.0005047775,0.0004601611,0.0006860835,0.001401851,0.002366707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617352,"about_ca_system_score_gemma":0.001914888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004332736,"about_ca_topic_score_gemma":0.005007128,"domain_scores_codex":[0.9997016,0.00005693259,0.00001390608,0.00004583204,0.0001183176,0.0000633184],"domain_scores_gemma":[0.9995957,0.00007097095,0.00005418141,0.00002937093,0.0001020312,0.0001477704],"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":[0.0008558471,0.0001892138,0.009186875,0.0009620686,0.00007469813,0.0007966243,0.0002660026,0.002372095,0.4180995,0.0161429,0.1326784,0.4183758],"study_design_scores_gemma":[0.00008067173,0.0005547557,0.01617245,0.000341988,0.00009995871,0.001759144,0.0002905765,0.001617722,0.1791549,0.004727311,0.7951571,0.00004355638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.312634,0.2574171,0.09720059,0.08464297,0.003781522,0.0008250884,0.04401843,0.00963342,0.1898469],"genre_scores_gemma":[0.5079351,0.2280743,0.1209696,0.01222608,0.001167329,0.000404497,0.04051308,0.001603634,0.08710641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007643143,"threshold_uncertainty_score":0.02556884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695896479997464,"score_gpt":0.4375053799117293,"score_spread":0.2679157319119829,"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."}}