{"id":"W2054289866","doi":"10.1016/j.clim.2010.03.235","title":"Impact of Pre-analytical Variables Relevant to Multi-centre Studies on the Stability of Serum and Cellular Samples","year":2010,"lang":"en","type":"article","venue":"Clinical Immunology","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Stability (learning theory); Statistics; Mathematics; Computer science","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":[0.03895347,0.0005416519,0.001132786,0.001012333,0.0009403739,0.003750962,0.0007739899,0.001063455,0.0008997876],"category_scores_gemma":[0.07784501,0.000316679,0.0008572388,0.002018133,0.001253271,0.0008757372,0.0008664511,0.00117192,0.000200539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488013,"about_ca_system_score_gemma":0.002289479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155778,"about_ca_topic_score_gemma":0.002640663,"domain_scores_codex":[0.9576252,0.02608062,0.004950565,0.003128697,0.00732639,0.0008885598],"domain_scores_gemma":[0.8667803,0.09443982,0.01953911,0.006739855,0.01025601,0.002244918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02245175,0.00121366,0.8825617,0.0008701861,0.002146163,0.0005012616,0.002228304,0.003299952,0.02391637,0.000546477,0.0008754751,0.0593886],"study_design_scores_gemma":[0.0001768562,0.007827275,0.9598429,0.0001254004,0.001148846,0.0007228698,0.0007951117,0.002881267,0.02376134,0.0003697865,0.002278198,0.00007020524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865514,0.004205762,0.006420999,0.00067611,0.0002250305,0.000166625,0.0003410165,0.00004518415,0.001368023],"genre_scores_gemma":[0.9962277,0.0002275391,0.002843783,0.0001776649,0.0001008313,0.00006094878,0.0002104509,0.00002364561,0.0001274108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03895347,"threshold_uncertainty_score":0.2060081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1934552996574309,"score_gpt":0.472543043029385,"score_spread":0.2790877433719541,"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."}}