{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530298,0.00007870393,0.0001436322,0.0001049485,0.0001539454,0.00004019964,0.00007005745,0.00003152873,0.0001196952],"category_scores_gemma":[0.0001793777,0.00005470283,0.00005378053,0.0003923571,0.0002744396,0.0001510845,0.00001385123,0.00002202836,0.000008654513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008295311,"about_ca_system_score_gemma":0.0001185211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003413613,"about_ca_topic_score_gemma":0.002159711,"domain_scores_codex":[0.9991102,0.00001716411,0.0001429885,0.0002462196,0.0002697886,0.0002136139],"domain_scores_gemma":[0.9995372,0.0002048152,0.00005515164,0.0000825314,0.00007796588,0.00004236622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001748909,0.0004126953,0.9243664,0.00002525738,0.00003978369,0.00002149051,0.005510791,0.00006982149,0.001699505,0.01525229,0.03515129,0.01727582],"study_design_scores_gemma":[0.005773126,0.001120992,0.8966817,0.0004495319,0.00005798179,0.0000311068,0.002637955,0.002640383,0.02002914,0.005743704,0.0645173,0.0003170612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362475,0.0001809483,0.00006627309,0.06196229,0.0002133186,0.0003774647,0.000005995844,0.00001867224,0.0009274947],"genre_scores_gemma":[0.9917095,0.00002156346,0.005237167,0.002522072,0.0002892187,0.00005216984,0.000002852659,0.000005324083,0.0001600787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05944022,"threshold_uncertainty_score":0.2230717,"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."}}