{"id":"W4229614979","doi":"10.1007/978-3-030-24725-6_11","title":"Brain Cancer Biomarkers in Proximal Fluids","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Brain cancer; Cancer; Neuroscience; Medicine; Computational biology; Biology; Internal medicine","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":[0.0004851861,0.001015818,0.0007073103,0.001548422,0.0004027222,0.002266587,0.000624232,0.001238887,0.02641501],"category_scores_gemma":[0.00089627,0.0003337971,0.0003774435,0.00116843,0.0006780715,0.002268033,0.001198347,0.001883903,0.01897626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290033,"about_ca_system_score_gemma":0.0007066446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205454,"about_ca_topic_score_gemma":0.003308488,"domain_scores_codex":[0.9997925,0.00004051502,0.00001172841,0.00002832901,0.0001116734,0.00001533728],"domain_scores_gemma":[0.9997944,0.0001064135,0.00001370704,0.00001175775,0.0000572739,0.00001638949],"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":[0.00004098869,0.00005617133,0.0001911733,0.001027605,0.00001729089,0.0003850459,0.0001452729,0.000510941,0.004013964,0.08126544,0.3764133,0.5359329],"study_design_scores_gemma":[0.000002281576,0.00001926783,0.0001409807,0.0002492148,0.000005982974,0.0005983148,0.00003298141,0.0001720645,0.001520705,0.02204694,0.9752018,0.00000936102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001599381,0.449307,0.04103336,0.01423033,0.0195221,0.0001104237,0.001112688,0.0006819153,0.4724028],"genre_scores_gemma":[0.006270897,0.1663586,0.01878694,0.006295246,0.005255014,0.0001011285,0.0005440968,0.0002652287,0.7961228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02641501,"threshold_uncertainty_score":0.08836704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079821249944043,"score_gpt":0.2786299841626274,"score_spread":0.2578317716631869,"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."}}