{"id":"W1938908068","doi":"10.1002/0471463736.tnmp47","title":"Prognostic Factors in Population‐Based Cancer Control","year":2006,"lang":"en","type":"other","venue":"TNM Online","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cancer prevention; Medicine; Context (archaeology); Cancer; Population; Psychological intervention; Quality of life (healthcare); Disease; Incidence (geometry); Oncology; Intensive care medicine; Environmental health; Internal medicine; Nursing","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":[0.00004175611,0.0002331457,0.0004945233,0.0002698078,0.00001372271,0.000007850807,0.00008081168,0.0002402527,0.004171559],"category_scores_gemma":[0.00009603706,0.0001928862,0.00008662743,0.0002250152,0.00002237793,0.00001786086,0.000008584682,0.0002533045,0.00001706314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968332,"about_ca_system_score_gemma":0.0002107214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0309673,"about_ca_topic_score_gemma":0.05009232,"domain_scores_codex":[0.9988784,0.00002306826,0.0002590819,0.0002673273,0.0003114758,0.0002606819],"domain_scores_gemma":[0.9994729,0.00004447706,0.0001537254,0.0002117735,0.00003611253,0.00008098931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003806517,0.00008492029,0.7597927,0.00008821877,0.00002493426,0.00004805456,0.00000438488,0.00007837103,0.000006756726,0.000004830421,0.2390901,0.0007386394],"study_design_scores_gemma":[0.00190222,0.00008342427,0.7566921,0.002056016,0.0001604255,0.000002248385,0.000009006235,0.0006162823,0.000003072751,0.000009432566,0.2382315,0.0002343365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3281046,0.02576179,0.001060032,0.007035653,0.003081616,0.01095007,0.04582957,0.002626248,0.5755504],"genre_scores_gemma":[0.6318386,0.00004935412,0.001088716,0.002143823,0.001855392,0.0001132127,0.01269753,0.0004799463,0.3497334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3037341,"threshold_uncertainty_score":0.9967388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554600207185109,"score_gpt":0.360750815292836,"score_spread":0.3052907945743251,"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."}}