{"id":"W3133841227","doi":"10.1016/j.ebiom.2021.103269","title":"The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types","year":2021,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Cancerfonden","keywords":"Stroma; Cancer; Pathology; Cytokeratin; Stromal cell; Pancreatic cancer; Medicine; Oncology; Biology; Immunohistochemistry; Internal 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":[0.0008642409,0.0001605594,0.0007163874,0.000279031,0.0002266735,0.00001234382,0.000170561,0.00008903584,0.0009420507],"category_scores_gemma":[0.001518351,0.00007849985,0.0002848332,0.001899425,0.0003724685,0.00002386961,0.00006498166,0.0006001806,0.00001300435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640506,"about_ca_system_score_gemma":0.0007130725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091098,"about_ca_topic_score_gemma":0.001128349,"domain_scores_codex":[0.9980477,0.0003569468,0.000464567,0.0002421201,0.000535196,0.0003534511],"domain_scores_gemma":[0.9983244,0.000675297,0.0001969411,0.0004054522,0.0002628666,0.0001350461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001867044,0.0003039238,0.9803215,0.00005043291,0.0008282975,0.0001382743,0.0001247987,0.0001124305,0.01711445,0.0000212548,0.0005100936,0.0002878261],"study_design_scores_gemma":[0.002185947,0.001057999,0.9836258,0.0001672813,0.001244011,0.00005210206,0.0002968299,0.009872262,0.00103262,0.0000828846,0.0003122763,0.00007003531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915665,0.00130556,0.0001939502,0.004861216,0.00005687877,0.0003464913,0.000009974639,0.00002098602,0.001638385],"genre_scores_gemma":[0.9972014,0.00005886416,0.00005320787,0.0001167732,0.0001627936,0.00002236283,0.00009594072,0.00001548622,0.002273103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608183,"threshold_uncertainty_score":0.9999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228610367281739,"score_gpt":0.3735047758976371,"score_spread":0.3512186722248197,"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."}}