{"id":"W4220883416","doi":"10.1158/1538-7445.sabcs21-p4-12-11","title":"Abstract P4-12-11: Eq-5d-5l utility scores for patients with breast cancer","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Children's Hospital of Eastern Ontario; Health Sciences Centre; Sunnybrook Health Science Centre; St. Michael's Hospital; University Health Network; University of Toronto","funders":"","keywords":"EQ-5D; Medicine; Visual analogue scale; Breast cancer; Anxiety; Depression (economics); Quality of life (healthcare); Reimbursement; Metastatic breast cancer; Cancer; Physical therapy; Hospital Anxiety and Depression Scale; Disease; Health care; Internal medicine; Psychiatry; Health related quality of life","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112767,0.0003267534,0.0004019568,0.001158787,0.000399558,0.0007657208,0.0006726352,0.0003693603,0.005297471],"category_scores_gemma":[0.006201462,0.0001390053,0.0006254042,0.00230909,0.0002626389,0.0003761741,0.0005149262,0.0004838585,0.0008334705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668929,"about_ca_system_score_gemma":0.0009764145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07221471,"about_ca_topic_score_gemma":0.0915074,"domain_scores_codex":[0.9994006,0.000157985,0.00008216736,0.00006482232,0.0002005219,0.00009387092],"domain_scores_gemma":[0.9988849,0.0002313051,0.0003649426,0.00003485514,0.0003388535,0.0001451378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011865,0.00004357381,0.9860379,0.00008857966,0.0000797164,0.00005808713,0.0001195894,0.0005003775,0.00007839285,0.00007539894,0.005048744,0.007568503],"study_design_scores_gemma":[0.00002563813,0.00007109787,0.9980826,0.00002238415,0.00002935155,0.00008785648,0.0001148142,0.0007036586,0.00005043955,0.00004368216,0.0007610671,0.000007360026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463747,0.001080818,0.0009123994,0.000583523,0.00003389878,0.0003090703,0.04383187,0.00004885122,0.00682504],"genre_scores_gemma":[0.9893916,0.0001468621,0.0006238749,0.00005245845,0.00001373295,0.0001448051,0.00894322,0.000005809598,0.0006777648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07221471,"threshold_uncertainty_score":0.1435888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5195523338642936,"score_gpt":0.4946422369932038,"score_spread":0.02491009687108975,"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."}}