{"id":"W3162326337","doi":"10.1101/2021.05.14.21257235","title":"Mortality in hemodialysis: Synchrony of biomarker variability indicates a critical transition","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Biomarker; Context (archaeology); Medicine; Hazard ratio; Internal medicine; Warning system; Demography; Biology; Computer science; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002202817,0.0002140463,0.0003959821,0.0006758161,0.0002455799,0.001034638,0.0002432723,0.0004253344,0.001121881],"category_scores_gemma":[0.01176394,0.0001739054,0.000347478,0.0005812789,0.0007118047,0.000700182,0.0009823369,0.0008501549,0.0001087886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115584,"about_ca_system_score_gemma":0.0003387917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415798,"about_ca_topic_score_gemma":0.0005768501,"domain_scores_codex":[0.999185,0.0003515801,0.00004851189,0.0002207647,0.0000931277,0.0001009823],"domain_scores_gemma":[0.9903746,0.005546995,0.002477211,0.000629992,0.0003420099,0.000629329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006641445,0.00006336172,0.976988,0.00003448266,0.0001997753,0.0001792866,0.0003210169,0.008136509,0.003050452,0.0009594659,0.0004176732,0.008985871],"study_design_scores_gemma":[0.00001450095,0.0001903234,0.9726168,0.00001298578,0.00003405731,0.000158208,0.0002690613,0.02082095,0.0009960467,0.004620777,0.0002460688,0.00002020817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950345,0.0001815135,0.00397522,0.0002048859,0.0000106624,0.000005758462,0.000207014,0.00002879151,0.0003516685],"genre_scores_gemma":[0.9996705,0.00001202796,0.0002123163,0.00001205418,0.000006966943,0.000002033988,0.00006482343,0.000002110825,0.00001714788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002202817,"threshold_uncertainty_score":0.01164979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372102675246548,"score_gpt":0.2683311815741077,"score_spread":0.2546101548216422,"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."}}