{"id":"W3114821275","doi":"10.1002/cam4.3685","title":"Artificial neural networks for simultaneously predicting the risk of multiple co‐occurring symptoms among patients with cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Depression (economics); Cohort; Mood; Internal medicine; Physical therapy; Population; Cancer; Framingham Risk Score; Disease; Psychiatry","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":[0.00284444,0.0007864517,0.0007212919,0.0009294584,0.000263288,0.0008796599,0.0005518037,0.0006487664,0.0008155528],"category_scores_gemma":[0.01029875,0.0003480407,0.0006199471,0.0007290585,0.0001696809,0.0005215806,0.0006694908,0.001170194,0.0001622087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573178,"about_ca_system_score_gemma":0.0007054389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132019,"about_ca_topic_score_gemma":0.01162825,"domain_scores_codex":[0.9992581,0.0003541326,0.00007902097,0.0001366647,0.000103764,0.00006832098],"domain_scores_gemma":[0.9961452,0.00276288,0.0004729207,0.0001212517,0.0003654377,0.0001323677],"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":[0.0007556182,0.0004896903,0.6018859,0.00009926088,0.0007251853,0.0003354166,0.0001571373,0.3354064,0.0007522622,0.0004574626,0.001655043,0.0572806],"study_design_scores_gemma":[0.00002246261,0.0001168604,0.03713582,0.00003921268,0.00006592993,0.00007941094,0.00004723168,0.9613961,0.0001903767,0.00064651,0.0002437111,0.00001631696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559071,0.001578403,0.03812175,0.0009032165,0.0001568703,0.0001362679,0.001341755,0.000167414,0.001687049],"genre_scores_gemma":[0.9902228,0.0002764079,0.008091698,0.0001056008,0.00003853723,0.00007324877,0.0007224053,0.000007275083,0.0004621827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01132019,"threshold_uncertainty_score":0.02250856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804434165253184,"score_gpt":0.2722257852525319,"score_spread":0.2541814436000001,"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."}}