{"id":"W2466552622","doi":"10.6084/m9.figshare.36959.v1","title":"A siteXsite matrix for 21 major cancer types as reported by the National Cancer Institute of Canada","year":2011,"lang":"en","type":"article","venue":"Figshare","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Medicine; 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":[0.00003893495,0.0001014755,0.0001724509,0.00002645732,0.00007467168,0.000005243458,0.0001041374,0.00005211952,0.1422528],"category_scores_gemma":[0.0003226454,0.00007316827,0.00006068858,0.0001069463,0.00001274342,0.00007872143,0.00001965584,0.00009270249,0.00001424206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268484,"about_ca_system_score_gemma":0.003592129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1820693,"about_ca_topic_score_gemma":0.2351836,"domain_scores_codex":[0.9991795,0.000007013154,0.0002145797,0.000168854,0.0002647889,0.000165259],"domain_scores_gemma":[0.999226,0.0000414846,0.0001621971,0.0001342739,0.000357184,0.00007887539],"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":[0.0001649048,0.00001454359,0.0004834476,0.0002380851,0.0001778257,0.00001001779,0.0001904613,0.00001194849,0.0009752905,0.00001073876,0.9965735,0.001149203],"study_design_scores_gemma":[0.0008999393,0.00004587391,0.008362532,0.0004311814,0.00006244574,0.00001850672,0.00002499839,0.0001291315,0.01379615,0.0000183321,0.9760944,0.0001165052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06254835,0.008156088,0.000002272684,0.003408007,0.0007841904,0.002028496,0.8713154,0.00006345879,0.05169369],"genre_scores_gemma":[0.8284115,0.00008912922,0.000276932,0.01449965,0.0009705435,0.002634298,0.1008704,0.0000793386,0.05216812],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.770445,"threshold_uncertainty_score":0.8585313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0825329902052808,"score_gpt":0.3260383168784176,"score_spread":0.2435053266731368,"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."}}