{"id":"W850004355","doi":"10.71781/679","title":"Assessing waiting times in the clinical trajectory of patients with lung cancer","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Population; Audit; Cancer; Palliative care; Emergency medicine; Intensive care medicine; Family medicine; Internal medicine; Nursing; 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":[0.003543573,0.0001707169,0.0003851136,0.001336534,0.0009245001,0.001261428,0.0006473375,0.0006477593,0.003598291],"category_scores_gemma":[0.02122621,0.0002545762,0.0008043261,0.001737226,0.0003012703,0.001151472,0.0009940435,0.001241657,0.0005031593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551626,"about_ca_system_score_gemma":0.00435992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0538405,"about_ca_topic_score_gemma":0.07133806,"domain_scores_codex":[0.9980487,0.0007185188,0.000317158,0.0001993271,0.0003025009,0.0004137812],"domain_scores_gemma":[0.9858323,0.004474366,0.004658205,0.0002996066,0.001979094,0.002756445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006214621,0.0001167757,0.9839621,0.00008762327,0.00004719984,0.00004803191,0.0007706206,0.0003523268,0.00008255722,0.0001362007,0.00122427,0.012551],"study_design_scores_gemma":[0.00004165576,0.0007352273,0.9927407,0.0001065755,0.00005852295,0.0001296359,0.002852893,0.001310537,0.0001372875,0.0002218168,0.001633279,0.00003181679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939021,0.001161932,0.0004097338,0.001181279,0.00006501877,0.00008603555,0.001006349,0.00001881222,0.002168737],"genre_scores_gemma":[0.9971551,0.0004713495,0.0006542742,0.0001998797,0.00003278323,0.00009232946,0.0007459074,0.000006831409,0.0006415252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0538405,"threshold_uncertainty_score":0.1070542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519279535014276,"score_gpt":0.4738324187735519,"score_spread":0.3219044652721242,"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."}}