{"id":"W4324056419","doi":"10.3390/curroncol30030249","title":"Optimizing Growth of the Future Liver Remnant and Making In-Situ Liver Transsection Safe—A Standardized Approach to ISLT or ALPPS","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Medicine; Dissection (medical); Computer science; Vein; Resection; Surgery; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001468644,0.0004518573,0.0003765198,0.0007617162,0.0003147412,0.0006473613,0.0003553204,0.0003866026,0.001189863],"category_scores_gemma":[0.00169075,0.0001602494,0.0004230334,0.0002946443,0.0008378684,0.0009852139,0.0006694273,0.001299757,0.0005507736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452088,"about_ca_system_score_gemma":0.0007741134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003664421,"about_ca_topic_score_gemma":0.0006189665,"domain_scores_codex":[0.9995611,0.0001622871,0.00006843105,0.00004798745,0.0001163033,0.0000439046],"domain_scores_gemma":[0.9991881,0.0001791357,0.0002492498,0.0001713706,0.0001041408,0.0001079057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007860915,0.0003736005,0.02178835,0.001239786,0.0001780577,0.005819635,0.0009066653,0.0043066,0.2784426,0.007743842,0.003561353,0.6748534],"study_design_scores_gemma":[0.0004560789,0.01143194,0.1446414,0.000853857,0.0007520602,0.1607864,0.002283816,0.01727282,0.4509901,0.01829077,0.1918729,0.0003678864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.384987,0.01353935,0.5786969,0.00376835,0.0005002249,0.0005475092,0.0001271891,0.001459267,0.01637415],"genre_scores_gemma":[0.6956939,0.008254047,0.2900407,0.0009902641,0.0005660729,0.0002703186,0.0003382247,0.0003134767,0.003533041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001468644,"threshold_uncertainty_score":0.007767022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517047230461796,"score_gpt":0.3419670610065694,"score_spread":0.1902623379603898,"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."}}