{"id":"W2426916527","doi":"10.1093/neuonc/now076.42","title":"MB-44SUBGROUP-SPECIFIC QUANTITATIVE PROTEOMIC ANALYSIS OF MEDULLOBLASTOMA","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medulloblastoma; Computational biology; Biology; Cancer research","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":[0.0002522098,0.0003111556,0.0002576232,0.0009581987,0.0003101451,0.0002731664,0.0001629429,0.0001467034,0.000739159],"category_scores_gemma":[0.000194935,0.000127495,0.0002167517,0.0004276404,0.0001333473,0.0001343668,0.0002307611,0.0002265754,0.0002921489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003538474,"about_ca_system_score_gemma":0.0003177917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221636,"about_ca_topic_score_gemma":0.003636588,"domain_scores_codex":[0.9997917,0.00002101192,0.00001261915,0.00004080643,0.0001000807,0.00003373036],"domain_scores_gemma":[0.9999256,0.000009454179,0.00001931949,0.000009621101,0.00002134473,0.00001465242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006617906,0.00001249399,0.0007507311,0.00002129455,0.000009885438,0.0000225259,0.00001497832,0.00003535058,0.9975128,0.00004522326,0.00006648613,0.00144198],"study_design_scores_gemma":[0.00001938429,0.0002746065,0.1152033,0.00001055274,0.00008208934,0.0007213532,0.0001003889,0.002757871,0.8666867,0.0002076164,0.01392135,0.00001472271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985742,0.002329699,0.007186548,0.00008118395,0.00003360554,0.00007778763,0.002429975,0.0002611068,0.00185821],"genre_scores_gemma":[0.9634668,0.00200143,0.02135811,0.00009871436,0.00002906443,0.000190062,0.008326142,0.0001283507,0.004401188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00221636,"threshold_uncertainty_score":0.004406869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439613760905169,"score_gpt":0.3182835621474913,"score_spread":0.2938874245384396,"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."}}