{"id":"W4411973633","doi":"10.1186/s12893-025-02901-0","title":"Predictors of return-to-work after thyroid cancer surgery based on random forest model: a cross-sectional study","year":2025,"lang":"en","type":"article","venue":"BMC Surgery","topic":"Thyroid and Parathyroid Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southern Medical University","keywords":"Medicine; Surgery; Cross-sectional study; Thyroid cancer; Random forest; Cancer; General surgery; Internal medicine; Pathology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002192267,0.000464515,0.001367274,0.00123891,0.0001355617,0.00006163851,0.0001359213,0.0002593004,0.0001771571],"category_scores_gemma":[0.001362877,0.000399055,0.0009754986,0.001442433,0.000152599,0.0001280751,0.00006903925,0.0003764056,0.00002938023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868961,"about_ca_system_score_gemma":0.0018433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002232816,"about_ca_topic_score_gemma":0.0002400942,"domain_scores_codex":[0.995997,0.000293967,0.001343281,0.0007894738,0.0009301307,0.0006462017],"domain_scores_gemma":[0.9930035,0.005177474,0.0002573918,0.0008825483,0.0003534328,0.0003255838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01968871,0.001123251,0.9130352,0.0001866142,0.000174244,0.00006667915,0.0001292711,0.01598805,0.0001418372,0.000003739644,0.04940069,0.00006175742],"study_design_scores_gemma":[0.002159094,0.00008588935,0.9923698,0.0004058512,0.0001391701,0.000003007468,0.00003985628,0.003321037,0.0003707563,0.00001551464,0.0007588128,0.0003311691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927241,0.0009499763,0.001128181,0.0002159778,0.002690936,0.001157767,0.000128104,0.0001745193,0.0008304215],"genre_scores_gemma":[0.9940121,0.00003211405,0.00007072652,0.001381562,0.0005229215,0.0008105274,0.00007020905,0.00007214483,0.003027672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07933468,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325455418064507,"score_gpt":0.307928493171656,"score_spread":0.2753829513652054,"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."}}