{"id":"W2606382624","doi":"10.1017/cjn.2015.374","title":"Precision Care of Brain Tumour Patients via Personalized OncoGenomics – Promises and Challenges","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Content (measure theory); Computer science; Action (physics); Medicine; World Wide Web; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007100898,0.0006786722,0.00159965,0.0007536095,0.0006157057,0.003387556,0.001393023,0.002020043,0.004897382],"category_scores_gemma":[0.009834739,0.0002468337,0.000818603,0.0005803497,0.001635605,0.003410346,0.002638678,0.004468471,0.001274729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546344,"about_ca_system_score_gemma":0.00421206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844528,"about_ca_topic_score_gemma":0.004402896,"domain_scores_codex":[0.9981451,0.0008799488,0.0001220068,0.000265446,0.0004039516,0.0001836064],"domain_scores_gemma":[0.9938923,0.00309556,0.0005895083,0.000581443,0.001212444,0.0006287207],"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":[0.001006582,0.0003583526,0.01283706,0.001935911,0.0006243372,0.0006071251,0.0004795813,0.004855421,0.008530066,0.03358936,0.06193274,0.8732436],"study_design_scores_gemma":[0.0005102755,0.001935951,0.02137688,0.005812353,0.0009544801,0.002810981,0.003525531,0.01309637,0.01451609,0.3625533,0.5726025,0.0003053074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.02972534,0.3831847,0.08353384,0.4774136,0.003310664,0.0002007433,0.001510941,0.0009788979,0.02014124],"genre_scores_gemma":[0.4369633,0.3414916,0.1333142,0.06858157,0.01069554,0.0005161917,0.001543414,0.0003299215,0.006564335],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007100898,"threshold_uncertainty_score":0.03755355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06279573732916176,"score_gpt":0.2836253043385741,"score_spread":0.2208295670094124,"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."}}