{"id":"W4413110807","doi":"10.1093/jncics/pkaf078","title":"Accelerating precision exercise medicine in cancer patients using pooled individual patient data: POLARIS experience","year":2025,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Precision medicine; Physical activity; MEDLINE; Physical therapy; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002350052,0.0003360412,0.0006762968,0.0004124485,0.000168317,0.00005720007,0.0004718392,0.0001649822,0.0007545396],"category_scores_gemma":[0.0001282375,0.0002900735,0.00006504476,0.001217721,0.0001098056,0.0003983257,0.0005022536,0.000467694,0.000002872931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009849515,"about_ca_system_score_gemma":0.000643275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06214318,"about_ca_topic_score_gemma":0.01985447,"domain_scores_codex":[0.9969577,0.00006275539,0.0007141615,0.000855026,0.0008267766,0.0005835523],"domain_scores_gemma":[0.9985253,0.00006222852,0.0002237612,0.000869751,0.0001439908,0.0001749797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007124018,0.0003328447,0.8545616,0.0002266553,0.0001137048,0.00003472891,0.01358317,0.00008373713,0.001059129,0.00004875011,0.003656626,0.1255866],"study_design_scores_gemma":[0.009594169,0.0007497768,0.9255865,0.01105136,0.0009664452,0.000007185338,0.007854757,0.005218274,0.02362901,0.0002399114,0.01400773,0.001094853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842384,0.008394397,0.0001005476,0.00163592,0.00324827,0.00091932,0.0001933454,0.00006504862,0.001204771],"genre_scores_gemma":[0.9963205,0.00101062,0.0001343931,0.00153207,0.0004238418,0.0001914071,0.0001237542,0.00003715905,0.0002262276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244918,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0607147032198319,"score_gpt":0.3680482736727933,"score_spread":0.3073335704529614,"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."}}