{"id":"W4213048773","doi":"10.3390/cancers14030549","title":"Platelet Count and Survival after Cancer","year":2022,"lang":"en","type":"article","venue":"Cancers","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Women's College Hospital; Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario; Heart and Stroke Foundation of Canada","keywords":"Medicine; Thrombocytosis; Cancer; Platelet; Internal medicine; Cohort; Percentile; Oncology; Gastroenterology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001196379,0.00009233061,0.0001414689,0.0000486258,0.0001084885,0.000009270131,0.0000494172,0.00002416521,0.004123232],"category_scores_gemma":[0.00001009926,0.00009226634,0.00004076582,0.0001098675,0.00008951363,0.0000318253,0.00008333115,0.0001282419,0.000005609088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391554,"about_ca_system_score_gemma":0.000556277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844181,"about_ca_topic_score_gemma":0.00003475156,"domain_scores_codex":[0.9992147,0.00002910246,0.0001062856,0.0002042361,0.0002572733,0.0001883665],"domain_scores_gemma":[0.9996442,0.00001688529,0.00003360253,0.0001499467,0.00003154584,0.0001238376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004525398,0.00003469752,0.9184091,0.0003905869,0.0005524458,0.000978439,0.001191588,0.0002062209,0.00101994,0.0001545038,0.04814693,0.02439016],"study_design_scores_gemma":[0.003174795,0.0001708869,0.2945403,0.00007763887,0.000235774,0.00006294554,0.0009851175,0.0006619013,0.001293858,0.00006720698,0.6983524,0.000377197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991995,0.004022846,0.000002332011,0.0005535517,0.0007303202,0.0002422727,0.0001331581,0.00004798996,0.002272513],"genre_scores_gemma":[0.9961696,0.0001926893,0.0000509697,0.001663771,0.0001408082,0.001215648,0.00001032693,0.00002117305,0.0005350725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6502055,"threshold_uncertainty_score":0.9967871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267403514247147,"score_gpt":0.267398899795308,"score_spread":0.2547248646528366,"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."}}