{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344122,0.0001029323,0.0001979098,0.0004449715,0.0002751476,0.0004729018,0.0001794725,0.0002890258,0.001133795],"category_scores_gemma":[0.002471955,0.00008819512,0.0002491092,0.00100483,0.0002099251,0.0002057061,0.0002608934,0.0004536735,0.0001201714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008636379,"about_ca_system_score_gemma":0.0004619827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313204,"about_ca_topic_score_gemma":0.02998599,"domain_scores_codex":[0.9997192,0.00005643916,0.00002534594,0.0000494483,0.00007902427,0.00007046256],"domain_scores_gemma":[0.9985754,0.0001783645,0.0008150581,0.00008117933,0.000178565,0.0001713704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115948,0.00001021366,0.9938452,0.00002461767,0.0000922613,0.00009444994,0.00003709073,0.00008615033,0.0001278023,0.00005594704,0.000431468,0.004983287],"study_design_scores_gemma":[0.000005277489,0.00003644966,0.9987061,0.00001592612,0.00003877564,0.0001922704,0.00002753514,0.000113566,0.00004040901,0.00006780382,0.0007529582,0.000003067398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837304,0.0123336,0.0001200913,0.0005234781,0.00002829973,0.000009043531,0.001197963,0.000009666588,0.002047537],"genre_scores_gemma":[0.9978841,0.001286866,0.00003002747,0.00004917294,0.00001913014,0.000002783285,0.0004811523,0.000001126189,0.0002456367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02313204,"threshold_uncertainty_score":0.04599482,"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."}}