{"id":"W2339888685","doi":"10.1097/jom.0000000000000621","title":"Lost Labor Productivity Costs of Prostate Cancer to Patients and Their Spouses","year":2016,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bristol-Myers Squibb (Canada)","funders":"","keywords":"Productivity; Medical Expenditure Panel Survey; Medicine; Prostate cancer; Multivariate analysis; Medical costs; Economic cost; Demography; Environmental health; Absenteeism; Multivariate statistics; Aggregate data; Gerontology; Cancer; Health care; Economics; Health insurance; Economic growth; Statistics; Internal medicine","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":[0.001040138,0.0002722395,0.0003140659,0.0010109,0.0003088815,0.0007279311,0.000319868,0.0002615564,0.003346571],"category_scores_gemma":[0.008513328,0.0001243577,0.0008507079,0.0009517927,0.0002253818,0.0004691583,0.0006686166,0.0004271138,0.0003262924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013762,"about_ca_system_score_gemma":0.0007295753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006556754,"about_ca_topic_score_gemma":0.00761656,"domain_scores_codex":[0.9987675,0.0006125574,0.0001400815,0.00007091059,0.0002931154,0.0001158215],"domain_scores_gemma":[0.9971451,0.0006975128,0.001405598,0.0001273426,0.0003324898,0.0002919184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002442329,0.0001325358,0.9594299,0.0001581199,0.0007018939,0.0003369758,0.0001808369,0.004351499,0.0000927909,0.0009270338,0.002199153,0.03124507],"study_design_scores_gemma":[0.00005078343,0.0003964059,0.9806947,0.0003117943,0.0003101797,0.002092778,0.0009124142,0.006845388,0.0002525151,0.001193294,0.006910093,0.00002963213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818393,0.00388652,0.001827539,0.001134604,0.00009345412,0.0000740866,0.00466827,0.00002242161,0.006453868],"genre_scores_gemma":[0.9972439,0.0007169098,0.0003637743,0.00007693531,0.0000310032,0.00002187543,0.0009883471,0.000002033349,0.000555131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006556754,"threshold_uncertainty_score":0.01303715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474629857170506,"score_gpt":0.2711522110898544,"score_spread":0.2564059125181493,"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."}}