{"id":"W7133054077","doi":"","title":"Warning Systems for Undesirable Events during Cancer Treatment: Applying Machine Learning to Administrative Data","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; Cancer; Emergency department; Risk assessment; Predictive modelling; MEDLINE; Acute care","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":[0.00722727,0.0004497748,0.0004246759,0.001434738,0.0004703079,0.001710841,0.000580163,0.0004758523,0.0008307279],"category_scores_gemma":[0.04074645,0.0002198592,0.0005271057,0.001470864,0.0002689689,0.001095192,0.0008112693,0.001255284,0.0002520668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270797,"about_ca_system_score_gemma":0.003003382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06643703,"about_ca_topic_score_gemma":0.07550526,"domain_scores_codex":[0.9976763,0.001371655,0.0002042017,0.0002637476,0.0003659508,0.0001181471],"domain_scores_gemma":[0.9795262,0.01346957,0.002833317,0.001374532,0.002329233,0.0004672749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004242378,0.0003773353,0.6299855,0.0002673462,0.0004078145,0.0001424181,0.0005970452,0.09115613,0.0009088535,0.002094313,0.01029352,0.2633455],"study_design_scores_gemma":[0.00006097339,0.0003465631,0.1543671,0.0001641312,0.0001087025,0.00007731664,0.0006071752,0.8306534,0.001618914,0.005371255,0.006561599,0.00006275903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144602,0.002523356,0.1442289,0.017022,0.0004219434,0.0007833935,0.01027306,0.002994451,0.007292749],"genre_scores_gemma":[0.9575663,0.0004844293,0.03808045,0.000389128,0.00008747488,0.00007560003,0.002634215,0.00002840278,0.0006540286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06643703,"threshold_uncertainty_score":0.1321006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2706659291751359,"score_gpt":0.4851948702957218,"score_spread":0.2145289411205858,"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."}}