{"id":"W4378716619","doi":"10.3389/fonc.2023.1061881","title":"Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease","year":2023,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Positive Living North","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Medicine; Interquartile range; Oncology; Internal medicine; Quartile; Survival rate; Progression-free survival; Cancer; Urology; Tumor progression; Confidence interval; Chemotherapy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001864245,0.00008333821,0.0003045586,0.0002296868,0.00003166141,0.000002585291,0.00004790389,0.00002160176,0.00002150835],"category_scores_gemma":[0.0001242188,0.00005017143,0.00005504574,0.0003299154,0.00007121522,0.00002207045,0.00001176322,0.00004433559,0.000001919783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649988,"about_ca_system_score_gemma":0.00008471355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001013379,"about_ca_topic_score_gemma":0.00001263386,"domain_scores_codex":[0.9993367,0.00005216022,0.0002772628,0.0001367994,0.00008036675,0.0001166794],"domain_scores_gemma":[0.9993253,0.0002266264,0.0001535174,0.0001784456,0.00006964756,0.00004644678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01684515,0.007302947,0.7341697,0.006265456,0.00731313,0.000122829,0.00619045,0.005238123,0.01397584,0.03167239,0.01309155,0.1578124],"study_design_scores_gemma":[0.003767212,0.002255023,0.9643576,0.0001405875,0.001419786,0.000009417254,0.000693554,0.02078636,0.0006309407,0.003697878,0.0021496,0.00009201476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7544428,0.00006303976,0.2227915,0.01650851,0.0007218907,0.004713958,0.0003969008,0.00007599606,0.0002853313],"genre_scores_gemma":[0.9939463,0.0002817328,0.00271263,0.0002766842,0.00002100725,0.001767219,0.0001287299,0.00001949913,0.0008462263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2395034,"threshold_uncertainty_score":0.2045932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003453116634937,"score_gpt":0.3237755362562663,"score_spread":0.293741005089917,"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."}}