{"id":"W2896710989","doi":"10.3390/brainsci8100186","title":"Optimising Outcomes for Glioblastoma through Subspecialisation in a Regional Cancer Centre","year":2018,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glioblastoma; Cancer; Brain cancer; Medicine; Oncology; Internal medicine; Cancer research","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":[0.002054383,0.000203818,0.0002023551,0.0002978423,0.0003969608,0.001229461,0.0007929954,0.0002206981,0.001234158],"category_scores_gemma":[0.004623117,0.0001127247,0.0004197373,0.0004153698,0.0005337577,0.0006495047,0.002430772,0.0004097756,0.0001750919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040402,"about_ca_system_score_gemma":0.005784989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089784,"about_ca_topic_score_gemma":0.03773196,"domain_scores_codex":[0.9986302,0.0007227211,0.00005369457,0.00012877,0.0001504997,0.0003141485],"domain_scores_gemma":[0.9975509,0.000196159,0.0008534559,0.0001608773,0.0003040187,0.0009345427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004421189,0.002110723,0.6627062,0.0006850137,0.0004758803,0.001365773,0.004899804,0.04441195,0.01302034,0.003930189,0.007649956,0.2543229],"study_design_scores_gemma":[0.0009933091,0.01343531,0.9109548,0.0003777517,0.0003614835,0.001652191,0.01047098,0.04031926,0.004377071,0.002588722,0.01433673,0.0001323294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947667,0.0003109299,0.00239235,0.0009153262,0.00002282784,0.0001457691,0.0000686062,0.00003384567,0.001343625],"genre_scores_gemma":[0.9967992,0.0002115531,0.002538769,0.0000941116,0.0000123702,0.00004967763,0.0001121971,0.000006710236,0.0001754402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02089784,"threshold_uncertainty_score":0.04155236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08553132949312657,"score_gpt":0.3894831538301901,"score_spread":0.3039518243370635,"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."}}