{"id":"W4391727506","doi":"10.1093/oncolo/oyae016","title":"Consuming Patients’ Days: Time Spent on Ambulatory Appointments by People With Cancer","year":2024,"lang":"en","type":"article","venue":"The Oncologist","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health; Pancreatic Cancer Action Network","keywords":"Ambulatory; Medicine; Ambulatory care; Cancer; Emergency medicine; Surgery; Health care; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005351241,0.0001274535,0.0001680854,0.00003989566,0.0009121391,0.00003457312,0.0001221463,0.0001105814,0.001284022],"category_scores_gemma":[0.00006831645,0.00007182822,0.00002388695,0.0001990931,0.00007331738,0.00007104879,0.00004318119,0.0004480109,0.001138847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005793449,"about_ca_system_score_gemma":0.0005966591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077328,"about_ca_topic_score_gemma":0.0006454336,"domain_scores_codex":[0.9985837,0.0003706361,0.0002908117,0.0002441022,0.0002067958,0.000303971],"domain_scores_gemma":[0.9990588,0.0004213812,0.000083611,0.0002367072,0.000117635,0.000081892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005032864,0.0008193362,0.1501051,0.0006409773,0.0002772531,0.00001968917,0.01723309,0.008407079,0.0003111687,0.006679795,0.785513,0.02949027],"study_design_scores_gemma":[0.004571612,0.003063396,0.08842126,0.003226792,0.0002870718,0.000003765975,0.004925364,0.07207578,0.0001814696,0.0002449177,0.8218325,0.001166051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963222,0.0005656581,0.0007470312,0.01418565,0.001404488,0.002043007,0.0001908709,0.0002695429,0.01737178],"genre_scores_gemma":[0.9820692,0.0001785677,0.0004542415,0.003196607,0.0002120441,0.0005152047,0.0001935777,0.00003772127,0.01314281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0636687,"threshold_uncertainty_score":0.9996389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306431923971275,"score_gpt":0.4045877276868262,"score_spread":0.3615234084471134,"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."}}