{"id":"W4417203899","doi":"10.1038/s43018-025-01086-y","title":"The 2025 generation","year":2025,"lang":"en","type":"article","venue":"Nature Cancer","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Research in Immunology and Cancer","funders":"","keywords":"Government (linguistics); Set (abstract data type); Agency (philosophy); Work (physics)","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":[0.001304204,0.0004178289,0.0001897634,0.0005990015,0.0008883973,0.002263115,0.0004201777,0.001265236,0.1451343],"category_scores_gemma":[0.002554498,0.0001458695,0.0003103707,0.0005323041,0.000375081,0.001161246,0.001257714,0.001400333,0.05830124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781516,"about_ca_system_score_gemma":0.002520716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553941,"about_ca_topic_score_gemma":0.004441887,"domain_scores_codex":[0.9994736,0.0001144823,0.00001655606,0.00007366225,0.0001301942,0.0001914577],"domain_scores_gemma":[0.9992839,0.00006002873,0.00003522109,0.00009822696,0.0002136189,0.0003090606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001453756,0.00003252004,0.001503759,0.00006464736,0.00001285411,0.0001307024,0.0001270707,0.0001811594,0.0006537274,0.1542933,0.6785229,0.1643319],"study_design_scores_gemma":[0.000009405436,0.00002296527,0.0009528506,0.00002564648,0.000002109428,0.00006856125,0.00005497825,0.00007488473,0.000103209,0.005390089,0.9932915,0.000003851548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.01549214,0.00538438,0.00746141,0.03674706,0.02245437,0.000138956,0.009627127,0.0006665858,0.9020279],"genre_scores_gemma":[0.08784027,0.00307971,0.00541016,0.01477889,0.002029128,0.0002799863,0.01006287,0.0004067278,0.8761122],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1451343,"threshold_uncertainty_score":0.4855227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08033425826533368,"score_gpt":0.482227673449373,"score_spread":0.4018934151840393,"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."}}