{"id":"W4416901247","doi":"10.1158/2159-8290.cd-25-1782","title":"Cancer in 2025","year":2025,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Cancer; Disease; Malignant disease; Public health; Disease control; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001817053,0.0001705363,0.0004561785,0.0003085326,0.00005563359,0.000110895,0.0002671136,0.0001175796,0.001041003],"category_scores_gemma":[0.00004697201,0.0002037723,0.0001123304,0.0004125019,0.00007574248,0.0007626676,0.00007197852,0.0001852537,0.0001486199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475956,"about_ca_system_score_gemma":0.0002358515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004938094,"about_ca_topic_score_gemma":0.002392748,"domain_scores_codex":[0.9985928,0.000006134488,0.0005415966,0.000448679,0.00001949694,0.0003913111],"domain_scores_gemma":[0.9994364,0.00003017952,0.0001700306,0.0002955053,0.00001792656,0.00004994934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005407451,0.00005312742,0.5965189,0.00006129932,0.00006351402,0.000003238712,0.0001391782,0.001089535,0.00003079159,0.3700869,0.01832446,0.01357495],"study_design_scores_gemma":[0.001280415,0.00001784925,0.5849029,0.0002517925,0.00001037958,2.115563e-7,0.00006311366,0.0004766845,0.0003500997,0.08942986,0.3227684,0.0004482261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5655806,0.09097299,0.002403685,0.006655665,0.005002615,0.0004178501,0.0009048418,0.00005485491,0.3280069],"genre_scores_gemma":[0.9519936,0.008321836,0.00002703209,0.002556676,0.0002335543,0.0002395658,0.000004658861,0.00001930338,0.03660381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.386413,"threshold_uncertainty_score":0.9998722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292893554112846,"score_gpt":0.2689193893554945,"score_spread":0.245990453814366,"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."}}