{"id":"W4212778156","doi":"10.26226/morressier.5afadd8af314ac000849b026","title":"01 / SCREENING AND RISK FACTORS FOR MALNUTRITION IN OLDER PATIENTS WITH CANCER","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malnutrition; Environmental health; Cancer; Medicine; Gerontology; Internal medicine","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":[0.000700005,0.0001690554,0.0002130644,0.000890752,0.0003575217,0.0006515687,0.0002216783,0.0003589186,0.002714578],"category_scores_gemma":[0.003163581,0.000137236,0.0005303839,0.0009840778,0.0001545684,0.0004702243,0.0005569893,0.0004297737,0.0001832806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170958,"about_ca_system_score_gemma":0.0003616681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736302,"about_ca_topic_score_gemma":0.02024964,"domain_scores_codex":[0.999554,0.0001697068,0.00005276514,0.00006149304,0.0000686331,0.00009332482],"domain_scores_gemma":[0.9983547,0.0002396265,0.0009477843,0.00004687286,0.0001470651,0.0002638569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001988614,0.00001486778,0.9988846,0.00000958794,0.00002523235,0.00001130689,0.00004043594,0.00001203319,0.00001601132,0.000008300441,0.0001060153,0.0008517532],"study_design_scores_gemma":[0.000001697789,0.00001882312,0.9997051,0.000009414489,0.00000578765,0.00002492241,0.00009241625,0.00003598286,0.000004667699,0.000005761222,0.00009426911,0.000001135598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975464,0.0008463239,0.00003195079,0.0002905785,0.00001114053,0.000009307215,0.0007017905,0.000001986445,0.0005605252],"genre_scores_gemma":[0.9991627,0.0001918856,0.00003770208,0.00006936472,0.00001721875,0.000008513518,0.0003562418,8.549786e-7,0.0001555417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01736302,"threshold_uncertainty_score":0.0345239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509745533910783,"score_gpt":0.3533078782759342,"score_spread":0.3023333248848559,"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."}}