{"id":"W2981157061","doi":"10.1016/j.jalz.2019.06.3661","title":"P4‐002: A FRAILTY INDEX BASED ON ROUTINELY COLLECTED LABORATORY SAFETY DATA PREDICTS DROPOUT IN ALZHEIMER DISEASE CLINICAL TRIAL SETTINGS","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Greenfield Research (Canada)","funders":"","keywords":"Medicine; Dropout (neural networks); Clinical trial; Proportional hazards model; Linear regression; Disease; Internal medicine; Gerontology; Statistics","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":[0.01538072,0.0006796852,0.0009649337,0.001129868,0.0004786555,0.001731398,0.0009438099,0.00103246,0.007693979],"category_scores_gemma":[0.04679979,0.0003194861,0.002554352,0.00145393,0.0005213838,0.00210256,0.001178816,0.001436046,0.0008383843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558468,"about_ca_system_score_gemma":0.00083057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007809091,"about_ca_topic_score_gemma":0.0008950786,"domain_scores_codex":[0.9944257,0.003013054,0.0008475658,0.0005294422,0.0007775234,0.0004067577],"domain_scores_gemma":[0.95196,0.02125911,0.01917681,0.002894837,0.002015141,0.002694079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01965266,0.0002620602,0.9582654,0.0002593128,0.001671993,0.00008780463,0.0000968476,0.0005147101,0.0003017889,0.0001206419,0.002347771,0.01641903],"study_design_scores_gemma":[0.001158627,0.003575002,0.9850281,0.0001050572,0.0014136,0.0004277506,0.00009018252,0.005320351,0.0003541968,0.0008033857,0.001687068,0.00003663495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887509,0.001439303,0.001993075,0.0006540534,0.00005805579,0.0003300066,0.002844497,0.0001258656,0.003804171],"genre_scores_gemma":[0.9966491,0.0001294054,0.0008192509,0.0001583342,0.00005750146,0.0002318722,0.001275079,0.00002219557,0.0006573145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538072,"threshold_uncertainty_score":0.08134192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669703786298268,"score_gpt":0.3493853915185696,"score_spread":0.2824150128887428,"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."}}