{"id":"W4407824805","doi":"10.1002/9781394191369.part3","title":"Structure and Organisation of Cancer Services and System","year":2025,"lang":"en","type":"other","venue":"","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Cancer; Business; Computer science; Medicine; 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":[0.001777322,0.000220808,0.0001837045,0.002377155,0.0006192016,0.003769836,0.0009049584,0.00126002,0.105614],"category_scores_gemma":[0.009163339,0.0002207097,0.0003421871,0.004570316,0.001069311,0.001962413,0.001891146,0.001037053,0.01551331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01331253,"about_ca_system_score_gemma":0.01262232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1154242,"about_ca_topic_score_gemma":0.1276512,"domain_scores_codex":[0.9982888,0.0005805535,0.00005183757,0.0001519734,0.0004797665,0.0004470159],"domain_scores_gemma":[0.9967629,0.000848733,0.000383648,0.0001939752,0.001000376,0.000810304],"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":[0.00008807545,0.000100357,0.01275089,0.0002104914,0.00002260181,0.00008767202,0.0002762091,0.005497335,0.00022384,0.3500922,0.4495903,0.1810599],"study_design_scores_gemma":[0.00004196787,0.00005487304,0.03808431,0.0002698953,0.00001144682,0.0001510785,0.0004979352,0.005998474,0.0002655496,0.04861806,0.9059764,0.00003017953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01662188,0.005568048,0.003839519,0.04492425,0.0007480857,0.0001741028,0.01438362,0.0004016898,0.913339],"genre_scores_gemma":[0.1737627,0.006653955,0.003699463,0.002773109,0.0006348881,0.0001546518,0.008899727,0.0005011683,0.8029204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1154242,"threshold_uncertainty_score":0.3533139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007746612581834932,"score_gpt":0.2041044424694395,"score_spread":0.1963578298876046,"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."}}