{"id":"W2348902455","doi":"10.1515/cclm-2016-0151","title":"Copeptin predicts 10-year all-cause mortality in community patients: a 10-year prospective cohort study","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Science Foundation","keywords":"Copeptin; Medicine; Internal medicine; Adverse effect; Hazard ratio; Prospective cohort study; Proportional hazards model; Area under the curve; Confidence interval; Vasopressin","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":[0.001459786,0.0005522675,0.0006499906,0.0005537112,0.0006336624,0.0008677387,0.0004726309,0.0006274987,0.001791922],"category_scores_gemma":[0.001872803,0.0004931902,0.0009953111,0.0007893287,0.0003444364,0.0005392748,0.0006892735,0.001195016,0.0004082711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710481,"about_ca_system_score_gemma":0.0005470925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004007532,"about_ca_topic_score_gemma":0.004593894,"domain_scores_codex":[0.9994302,0.0001578695,0.00004626951,0.0001585834,0.00008549215,0.0001215349],"domain_scores_gemma":[0.9984117,0.0002346264,0.0004738724,0.0002314731,0.0001862082,0.0004621737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001097012,0.0001798044,0.9974971,0.00001227247,0.0001972035,0.00006816534,0.0000538675,0.00003280455,0.0002172696,0.000006708226,0.00009915275,0.0005385533],"study_design_scores_gemma":[0.0001057582,0.0007232709,0.9983953,0.000008945592,0.0001269495,0.0001568895,0.0001253427,0.0002015635,0.00003441202,0.00001163579,0.0001025547,0.000007470488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994067,0.0001021988,0.00004511725,0.0000175597,0.000005248619,0.00001886222,0.0003045166,0.000001911749,0.00009775372],"genre_scores_gemma":[0.9990146,0.0000973022,0.00007625868,0.00002554689,0.00001414165,0.00002598835,0.0006266778,0.000002015447,0.000117448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004007532,"threshold_uncertainty_score":0.007968366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04035776326274421,"score_gpt":0.3622902537921343,"score_spread":0.3219324905293901,"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."}}