{"id":"W4416085853","doi":"10.1093/neuonc/noaf201.1281","title":"NCOG-14. Deficits in Gait Quantified by Large Language Model-derived NANO Scores Predict Survival in High-grade Glioma","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Bevacizumab; Proportional hazards model; Gait; Survival analysis; Clinical endpoint; Repeated measures design; Cohort","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":[0.001070497,0.0003391826,0.0002496537,0.0008361309,0.0001529378,0.0006020032,0.0002704797,0.0002658153,0.001870256],"category_scores_gemma":[0.005913177,0.0001006353,0.0002931908,0.0004274647,0.0002279092,0.0003594991,0.0005708745,0.0002692008,0.0005243112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278913,"about_ca_system_score_gemma":0.000434587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005878287,"about_ca_topic_score_gemma":0.01026576,"domain_scores_codex":[0.9996389,0.00011561,0.00005431661,0.00008113685,0.00006818478,0.00004183312],"domain_scores_gemma":[0.9979562,0.0007106084,0.0006492049,0.0001261603,0.000334227,0.0002236636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000478766,0.00005104434,0.9898584,0.00001787411,0.00004281554,0.00003702635,0.00003269711,0.001018863,0.000422929,0.00001620441,0.0007611288,0.007262278],"study_design_scores_gemma":[0.00004377676,0.0003583765,0.9854876,0.00001536408,0.00005257261,0.0002443085,0.0001198743,0.01226174,0.0007233689,0.0001729538,0.0005074683,0.0000125764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971266,0.00008021088,0.0005705596,0.00005686572,0.000007925692,0.00002865831,0.001216525,0.00003847037,0.000874155],"genre_scores_gemma":[0.9977441,0.00002560879,0.0005043896,0.00001555305,0.000002982576,0.00002304423,0.001462484,0.000008301613,0.0002135337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005878287,"threshold_uncertainty_score":0.01168817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190088820304761,"score_gpt":0.3001738062878479,"score_spread":0.2811649242573718,"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."}}