{"id":"W4406566126","doi":"10.1016/j.ynpm.2016.07.025","title":"10.1016/j.ynpm.2016.07.025","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Critically ill; Intensive care; Medicine; Genome; Intensive care medicine; Computational biology; Biology; Genetics; Gene","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004881272,0.0008643084,0.0005453419,0.0009249521,0.0007638285,0.002063647,0.0009799107,0.002708807,0.8635326],"category_scores_gemma":[0.0008586739,0.0003486571,0.000430193,0.0004512125,0.000740519,0.001738913,0.001030694,0.001518995,0.824406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005767219,"about_ca_system_score_gemma":0.001022269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619271,"about_ca_topic_score_gemma":0.00152766,"domain_scores_codex":[0.9998362,0.00001164096,0.00001342514,0.00005223433,0.00004586418,0.00004047739],"domain_scores_gemma":[0.9993082,0.00009106016,0.00007486956,0.00003759472,0.0001194795,0.0003688544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003146989,0.0001508025,0.003442969,0.0004640589,0.00003327842,0.0009115349,0.0001023156,0.0002368273,0.001885188,0.005997636,0.3388857,0.647575],"study_design_scores_gemma":[0.00005148027,0.00008182503,0.003871337,0.000733442,0.00002745164,0.004337013,0.0001575443,0.0002038523,0.0006154942,0.004727194,0.9851685,0.00002500578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00530331,0.02244411,0.004152148,0.01362386,0.004256743,0.0001116013,0.00394595,0.002417734,0.9437445],"genre_scores_gemma":[0.01369425,0.005985229,0.002458842,0.003004843,0.001191015,0.000078099,0.002070739,0.0003123865,0.9712046],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1364674,"threshold_uncertainty_score":0.1946542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002987145918448075,"score_gpt":0.1694324267133082,"score_spread":0.1664452807948602,"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."}}