{"id":"W4298217363","doi":"10.1158/1055-9965.1991.20.10","title":"Highlights of This Issue","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Fatalism; Cancer; Survivorship curve; Socioeconomic status; Population; Gerontology; Incidence (geometry); Demography; Environmental health; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007553609,0.0001587019,0.0005742057,0.0001343253,0.00004135681,8.136331e-7,0.00009747085,0.0002253493,0.005317207],"category_scores_gemma":[0.0001455948,0.0001274492,0.0002653175,0.0001604104,0.0002402808,0.00007263463,0.00003249168,0.0001197995,0.00006140974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163197,"about_ca_system_score_gemma":0.0001196219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632758,"about_ca_topic_score_gemma":0.0001793017,"domain_scores_codex":[0.998488,0.0002141481,0.0005934872,0.0003371805,0.000080873,0.0002862793],"domain_scores_gemma":[0.9989582,0.0001158039,0.0003657908,0.0003339086,0.00009204912,0.0001342033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001654477,0.0002880472,0.7991233,0.0002724,0.001225773,0.00001101806,0.0006864992,7.736657e-7,0.005044245,0.002804986,0.1072723,0.08161614],"study_design_scores_gemma":[0.001596987,0.0006671674,0.857238,0.0004630966,0.0005427093,0.00001814381,0.00007445218,0.00006319141,0.01291254,0.006239684,0.119947,0.0002370315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837841,0.05032945,0.005392089,0.01112232,0.005810183,0.002084661,0.00006693408,0.0003032406,0.04110702],"genre_scores_gemma":[0.9826647,0.004827475,0.00519046,0.0007837294,0.0003466381,0.0001156187,0.0000602703,0.00003076954,0.005980356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09888058,"threshold_uncertainty_score":0.9955921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188353215985076,"score_gpt":0.3865719910040056,"score_spread":0.267736669405498,"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."}}