{"id":"W4394180614","doi":"10.6084/m9.figshare.19345789","title":"Early predictive value of circulating biomarkers for sorafenib in advanced hepatocellular carcinoma","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorafenib; Hepatocellular carcinoma; Predictive value; Internal medicine; Oncology; Medicine; Value (mathematics); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911606,0.0004600916,0.002333561,0.002492131,0.0001082326,0.0009851186,0.0004208682,0.0006696089,0.001326933],"category_scores_gemma":[0.007023941,0.000237274,0.002363747,0.002333784,0.0002645688,0.0008211632,0.0003241258,0.0006686622,0.000128601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114226,"about_ca_system_score_gemma":0.0009744314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346891,"about_ca_topic_score_gemma":0.002375716,"domain_scores_codex":[0.9990832,0.0003736757,0.0002460637,0.00008130183,0.0001844938,0.00003133437],"domain_scores_gemma":[0.994289,0.004221639,0.0009754598,0.00004365962,0.0004141413,0.00005601314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00395722,0.0001098872,0.02321487,0.2724762,0.01206412,0.0005848266,0.0002318229,0.001065136,0.002085205,0.0007018913,0.005277365,0.6782314],"study_design_scores_gemma":[0.002721513,0.004613473,0.2956616,0.273995,0.1554294,0.007961242,0.000955365,0.00406213,0.008345257,0.004243729,0.2415612,0.0004500681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.002497386,0.9970066,0.00008076053,0.0001108973,0.0000442443,0.00001155224,0.00007273832,0.000001848692,0.0001739168],"genre_scores_gemma":[0.08271786,0.9156688,0.0005949484,0.0003125755,0.0001996481,0.00005383529,0.0002495291,0.000002792814,0.0002000092],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002492131,"threshold_uncertainty_score":0.01010966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06435962438886147,"score_gpt":0.2704439658170379,"score_spread":0.2060843414281765,"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."}}