{"id":"W3133776887","doi":"10.1093/jjco/hyab023","title":"OUP accepted manuscript","year":2021,"lang":"en","type":"article","venue":"Japanese Journal of Clinical Oncology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre","funders":"","keywords":"Medicine","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":[0.002717749,0.0001361369,0.001097108,0.0001148569,0.0000518525,0.00001374468,0.0002018634,0.0003224956,0.002472202],"category_scores_gemma":[0.007971555,0.0001017392,0.0007357583,0.0002612892,0.0002505031,0.0001507447,0.0001004773,0.0006965075,0.0001268772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085261,"about_ca_system_score_gemma":0.001211539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001091342,"about_ca_topic_score_gemma":0.000002569586,"domain_scores_codex":[0.9962316,0.0006327705,0.00220494,0.0002145122,0.0004388996,0.0002772446],"domain_scores_gemma":[0.9956764,0.001321181,0.0008843577,0.0003170369,0.001158917,0.0006420831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009153474,0.004139903,0.7328626,0.00009323315,0.001237859,0.02100622,0.000414008,0.000004097275,0.01727394,0.0001682879,0.01807352,0.1955728],"study_design_scores_gemma":[0.009863552,0.00253317,0.8799748,0.00008881815,0.0005745501,0.005833792,0.001105556,0.0000774205,0.003511808,0.000353995,0.09593244,0.000150054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684659,0.000258684,0.0000375985,0.009465707,0.001622604,0.0001146432,9.51268e-7,0.00002323064,0.02001068],"genre_scores_gemma":[0.9836293,0.0001209587,0.008500372,0.006034392,0.001177232,0.000004629724,0.000002856735,0.00001720993,0.0005130103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954228,"threshold_uncertainty_score":0.9984397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343499562508669,"score_gpt":0.4652464758559035,"score_spread":0.3308965196050366,"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."}}