{"id":"W3165196335","doi":"10.6004/jnccn.2020.7666","title":"Risk of Cancer-Specific Death for Patients Diagnosed With Neuroendocrine Tumors: A Population-Based Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Manitoba; Health Sciences Centre; Occupational Cancer Research Centre; Manitoba Health; University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario Ministry of Health and Long-Term Care; EMD Serono; Ipsen; Ipsen Biopharmaceuticals","keywords":"Medicine; Interquartile range; Cancer; Internal medicine; Population; Hazard ratio; Cause of death; Oncology; Cohort; Colorectal cancer; Proportional hazards model; Cohort study; Disease; Confidence interval; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001423883,0.0003499562,0.0005077326,0.001416478,0.000298931,0.0008015144,0.0006462624,0.000566402,0.00128576],"category_scores_gemma":[0.002674239,0.0004025806,0.001962874,0.001426842,0.0002421663,0.0006046831,0.0006486799,0.0009493392,0.0001834617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690147,"about_ca_system_score_gemma":0.0004647408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005130744,"about_ca_topic_score_gemma":0.005034649,"domain_scores_codex":[0.9993209,0.0001479168,0.00007685359,0.0002708876,0.00009519965,0.0000883357],"domain_scores_gemma":[0.9981959,0.000443323,0.0007669788,0.0002154904,0.0001590209,0.0002192715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001449628,0.00001640364,0.998502,0.00001008802,0.0003215292,0.00005288806,0.00001617371,0.00024988,0.00004529156,0.00001848466,0.00009039779,0.0005318732],"study_design_scores_gemma":[0.00002602891,0.0001132715,0.9966719,0.000008049028,0.0002520105,0.0003721778,0.0000940037,0.002109385,0.00004040081,0.00007871174,0.0002229859,0.00001105367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974104,0.0005297638,0.0003212337,0.00004913404,0.000009528592,0.00001263335,0.00142779,0.00001088547,0.0002286784],"genre_scores_gemma":[0.9983006,0.0001515985,0.000120756,0.00001736267,0.00001173115,0.00001275003,0.001320234,0.0000031361,0.00006190955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005130744,"threshold_uncertainty_score":0.01020175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210202073306971,"score_gpt":0.3430044523649968,"score_spread":0.310902431631927,"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."}}