{"id":"W3117401138","doi":"10.7555/jbr.34.20200089","title":"Multiple pathological components in gliosarcoma","year":2020,"lang":"en","type":"article","venue":"Journal of Biomedical Research","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Gliosarcoma; Pathological; Pathology; Medicine; Glioblastoma; 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":[0.0007974427,0.0006104719,0.0004619034,0.005344607,0.0007260453,0.001308876,0.0006462175,0.0009807985,0.002566814],"category_scores_gemma":[0.00164854,0.0006687004,0.0003948795,0.001712513,0.001512444,0.001753251,0.00154632,0.0005383834,0.001013389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087163,"about_ca_system_score_gemma":0.0006127745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009956842,"about_ca_topic_score_gemma":0.001195347,"domain_scores_codex":[0.9995242,0.00006656729,0.00007569537,0.00005472408,0.0001509248,0.0001278445],"domain_scores_gemma":[0.999148,0.0001953814,0.0002357888,0.0001069454,0.0001701121,0.0001437011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003523006,0.0001778153,0.5082486,0.0005089169,0.0001462021,0.3576482,0.001204874,0.001113,0.08480664,0.00449386,0.001011341,0.03711755],"study_design_scores_gemma":[0.0001347646,0.0004440492,0.3618183,0.0001305962,0.0004725721,0.5679561,0.003038818,0.004497019,0.04769681,0.008048212,0.005692684,0.00006991623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867104,0.002695582,0.001781307,0.0002101233,0.00004339159,0.00005331295,0.0000967142,0.0000809509,0.008328207],"genre_scores_gemma":[0.9977235,0.0004837829,0.001077721,0.00003930048,0.00006085724,0.00001443865,0.0000666832,0.00001054282,0.0005230756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005344607,"threshold_uncertainty_score":0.008586824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2571945281328507,"score_gpt":0.4236134623383842,"score_spread":0.1664189342055335,"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."}}