{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555538,0.0008919542,0.0008016859,0.001416799,0.00210809,0.006884397,0.002484753,0.006647892,0.2719269],"category_scores_gemma":[0.01371703,0.0003505607,0.001021928,0.0009641402,0.0009834798,0.004417089,0.002966376,0.006191523,0.1249789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661686,"about_ca_system_score_gemma":0.005418351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453192,"about_ca_topic_score_gemma":0.00210024,"domain_scores_codex":[0.9976668,0.0003552647,0.000169393,0.0003457938,0.001089248,0.0003734935],"domain_scores_gemma":[0.9924772,0.001055757,0.0003339107,0.000476613,0.003132516,0.002524009],"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":[0.00001442045,0.00001869221,0.0001281516,0.0001399203,0.000003402393,0.00008138324,0.00003302133,0.00001199012,0.00006481628,0.001752778,0.9537615,0.04398993],"study_design_scores_gemma":[0.00000417659,0.000006148729,0.0001351384,0.0001234327,0.000002184197,0.0001062233,0.00004905952,0.000009699497,0.00002579438,0.0006853662,0.9988501,0.000002686798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004748644,0.02110125,0.001058562,0.2061292,0.6199697,0.0001778406,0.001180955,0.0005579093,0.1493498],"genre_scores_gemma":[0.007165845,0.03301806,0.00143888,0.1540519,0.4197657,0.0002874947,0.002388489,0.0006069586,0.3812767],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2719269,"threshold_uncertainty_score":0.909686,"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."}}