{"id":"W4390125519","doi":"10.1016/j.jval.2023.09.1316","title":"PT8 Five-Year Healthcare Resource Consumption and Direct Costs of Women with a New Diagnosis of Hr+/HER2- Breast Cancer Primary or Advanced: Analysis of a Large Italian Administrative Database","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Breast cancer; Consumption (sociology); Resource consumption; Medicine; Database; Health care; Resource (disambiguation); Cancer; Business; Computer science; Internal medicine; Economics; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009015838,0.0004613599,0.0006344459,0.002705522,0.0002696578,0.001037574,0.000878787,0.0007403268,0.006089534],"category_scores_gemma":[0.005340722,0.0004363966,0.001819933,0.004553556,0.0002599546,0.0004863425,0.0008565824,0.0006835304,0.001350355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260444,"about_ca_system_score_gemma":0.001138838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08781891,"about_ca_topic_score_gemma":0.04460339,"domain_scores_codex":[0.9991735,0.0002233714,0.0001032301,0.0002331544,0.0001078553,0.0001587872],"domain_scores_gemma":[0.995716,0.001232466,0.001838051,0.000644555,0.0002854332,0.0002834232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008089692,0.000109445,0.9846879,0.0001125798,0.0008296403,0.0001698447,0.00007621437,0.001907176,0.00009419327,0.0001748295,0.007401459,0.003627814],"study_design_scores_gemma":[0.00006688846,0.0000738381,0.9951186,0.00002815509,0.0001992492,0.0002165457,0.0001029896,0.001931002,0.00005969472,0.00005467228,0.002135927,0.00001240794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432161,0.0007888341,0.0003397574,0.0003551127,0.00002265769,0.00004042959,0.1532582,0.00005957991,0.001919402],"genre_scores_gemma":[0.8595268,0.0004368293,0.0003613547,0.000115081,0.00005500241,0.0001200556,0.1368086,0.00002848797,0.002547794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08781891,"threshold_uncertainty_score":0.1746155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06180095294210449,"score_gpt":0.3222798541341488,"score_spread":0.2604789011920443,"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."}}