{"id":"W7023868704","doi":"","title":"Preanalytic Laboratory Standards (Letters to the Editor)","year":2016,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Cohort; Gestational diabetes; MEDLINE; Missing data; Gold standard (test)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01586938,0.0007478911,0.001042451,0.001499654,0.001990448,0.004952214,0.003576837,0.01260162,0.01129895],"category_scores_gemma":[0.08916261,0.0008650323,0.0008692693,0.001337579,0.002675966,0.002044433,0.001095539,0.01731686,0.01591622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842141,"about_ca_system_score_gemma":0.005618728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004383508,"about_ca_topic_score_gemma":0.006480537,"domain_scores_codex":[0.9819986,0.003881466,0.003599772,0.001383783,0.008226489,0.0009098763],"domain_scores_gemma":[0.8635811,0.02530388,0.007130106,0.006599618,0.09292544,0.004459933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000366991,0.0000195784,0.0003252103,0.0001017184,0.000007972257,0.000262058,0.00004336013,0.00002066137,0.0001196575,0.0004405138,0.9773903,0.02123232],"study_design_scores_gemma":[0.00002690109,0.00003712195,0.001615576,0.0003480648,0.00001477786,0.0008224877,0.00007251295,0.0001185396,0.0005433048,0.001000645,0.9953745,0.0000256008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006223692,0.007917065,0.001846165,0.5098524,0.4707763,0.00007840175,0.0001508226,0.0004201256,0.008336348],"genre_scores_gemma":[0.009726168,0.005578752,0.003741649,0.6031921,0.3511166,0.0002052814,0.0002452028,0.0002648859,0.02592929],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01586938,"threshold_uncertainty_score":0.08392632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00826864244516516,"score_gpt":0.2752312998454301,"score_spread":0.2669626574002649,"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."}}