{"id":"W3190680804","doi":"","title":"The financial impact of cancer care on renal cancer patients.","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Logistic regression; Internal medicine; Population; Clinical trial; Finance; Environmental health","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":[0.0008566827,0.0001509771,0.0001964211,0.0004449787,0.0004396162,0.001085248,0.0002741544,0.0003980899,0.005686009],"category_scores_gemma":[0.006548937,0.00005728196,0.0002787875,0.001430185,0.0003240878,0.0006056568,0.0007563543,0.0005825546,0.0002703095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111872,"about_ca_system_score_gemma":0.001112758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009742405,"about_ca_topic_score_gemma":0.01615974,"domain_scores_codex":[0.9992141,0.0003155742,0.00006823501,0.00004243133,0.0002066914,0.0001530318],"domain_scores_gemma":[0.9960237,0.0006898743,0.002194045,0.00003725113,0.0002879913,0.0007673143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001303895,0.00006197349,0.9710178,0.0001207161,0.00007294604,0.0001423355,0.0001165922,0.000139008,0.00004428243,0.0001979624,0.003904554,0.02405152],"study_design_scores_gemma":[0.00001411985,0.0001362103,0.9944466,0.000118517,0.00003885346,0.0006112003,0.0006122043,0.0003241893,0.00003854132,0.0002905601,0.003361275,0.000007683691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704295,0.008038561,0.0001101215,0.008557266,0.00009267322,0.00004224611,0.002859481,0.000009184786,0.009860945],"genre_scores_gemma":[0.9969558,0.001434771,0.0001032548,0.0004777972,0.00008076256,0.00001157713,0.0005600486,0.000001268531,0.0003747361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009742405,"threshold_uncertainty_score":0.01937139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236359944883795,"score_gpt":0.2367650314945995,"score_spread":0.2144014320457615,"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."}}