{"id":"W1521876336","doi":"10.1111/j.1542-4758.2012.00663.x","title":"<scp>B</scp>eck <scp>D</scp>epression <scp>I</scp>nventory‐<scp>F</scp>ast <scp>S</scp>creen (<scp>BDI</scp>‐<scp>FS</scp>): An efficient tool for depression screening in patients with end‐stage renal disease","year":2012,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beck Depression Inventory; Depression (economics); Receiver operating characteristic; Medicine; Confidence interval; Cutoff; Hemodialysis; Internal medicine; Dialysis; Area under the curve; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007970443,0.0002461113,0.0002343189,0.0005566324,0.0001734409,0.0003494193,0.0001752317,0.0002623689,0.002912864],"category_scores_gemma":[0.001872408,0.0001143616,0.0001729742,0.0004076293,0.0001284453,0.0002354715,0.0002661288,0.0002746298,0.001080916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866143,"about_ca_system_score_gemma":0.000256576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195725,"about_ca_topic_score_gemma":0.003782253,"domain_scores_codex":[0.9994993,0.0001780281,0.00007002901,0.00005249063,0.0001538156,0.00004620621],"domain_scores_gemma":[0.9992094,0.0002496081,0.0002499287,0.0000411215,0.0001684442,0.00008149617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006716063,0.0004900656,0.9350182,0.00008961956,0.0000618206,0.0001380019,0.0001837787,0.0001709147,0.004374629,0.00007444042,0.002038398,0.05668857],"study_design_scores_gemma":[0.00003648238,0.0004715452,0.9963013,0.00001250824,0.00001360995,0.0005313178,0.00003751016,0.0006090778,0.0008406356,0.00003093953,0.001108907,0.000006115639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953473,0.000359311,0.00117849,0.00009424098,0.00001860851,0.0001196743,0.001084405,0.00002655817,0.001771426],"genre_scores_gemma":[0.9915242,0.0003658083,0.003923058,0.00009191058,0.00003163373,0.0001450368,0.002308502,0.00000758096,0.001602151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002912864,"threshold_uncertainty_score":0.009744465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511597544593555,"score_gpt":0.2622757220714479,"score_spread":0.2471597466255124,"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."}}