{"id":"W2945780461","doi":"10.1111/ecc.13100","title":"Advanced‐stage cancer and time to diagnosis: An International Cancer Benchmarking Partnership (ICBP) cross‐sectional study","year":2019,"lang":"en","type":"article","venue":"European Journal of Cancer Care","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Helsedirektoratet; Axencia Galega de Innovación; Sveriges Kommuner och Landsting; Public Health Agency; University College London; Scottish Government; Macmillan Cancer Support; Llywodraeth Cymru; Sundhedsstyrelsen; Cancer Research Wales; CancerCare Manitoba Foundation; University of Edinburgh; Georgia Tech 3D Systems Packaging Research Center; Cancer Care Ontario; Kræftens Bekæmpelse; Cancer Council Victoria; Norges Teknisk-Naturvitenskapelige Universitet; Aarhus Universitet","keywords":"Medicine; Benchmarking; Cross-sectional study; Stage (stratigraphy); General partnership; Cancer; Environmental health; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002364468,0.0002094149,0.0003804164,0.0005170511,0.0003725922,0.0005336715,0.0004308552,0.0003856343,0.001215255],"category_scores_gemma":[0.006258667,0.0002579513,0.0002973418,0.001934663,0.0002082974,0.000634685,0.000948686,0.000690783,0.0001540993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723454,"about_ca_system_score_gemma":0.0006036354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199756,"about_ca_topic_score_gemma":0.01047586,"domain_scores_codex":[0.9986392,0.0007049381,0.00006918432,0.0001714863,0.0001955087,0.0002198028],"domain_scores_gemma":[0.9963341,0.0007831136,0.001511056,0.0002802834,0.000383004,0.0007084865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005372093,0.00004763161,0.9989049,0.000008135818,0.00002281318,0.00001631923,0.00009309635,0.00003946875,0.00002940547,0.00001886708,0.0001285049,0.000637011],"study_design_scores_gemma":[0.000008193029,0.0001182764,0.999027,0.0000105714,0.00001654133,0.00009720918,0.0002803032,0.0002290641,0.00002127335,0.000015083,0.0001738032,0.000002658835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985948,0.0001552304,0.0001727292,0.0000667953,0.000004683487,0.00001408096,0.0006615857,0.00000224466,0.000327804],"genre_scores_gemma":[0.9993179,0.00005592229,0.00007076329,0.00002263939,0.000004233191,0.00001641341,0.0004616534,0.000001319199,0.00004923955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199756,"threshold_uncertainty_score":0.02385545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0643531748401799,"score_gpt":0.3946950797531603,"score_spread":0.3303419049129804,"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."}}