{"id":"W2341416480","doi":"10.1177/2211068216632349","title":"Automated Gravimetric Calibration to Optimize the Accuracy and Precision of TECAN Freedom EVO Liquid Handler","year":2016,"lang":"en","type":"article","venue":"SLAS TECHNOLOGY","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"NEOMED Institute","funders":"California Department of Transportation; GlaxoSmithKline","keywords":"Calibration; Computer science; Accuracy and precision; Calibration curve; Pipette; Process (computing); Process engineering; Chromatography; Simulation; Chemistry; Mathematics; Engineering","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":[0.009004833,0.002104449,0.001609255,0.003834638,0.001559986,0.001918674,0.002884129,0.001991695,0.009017292],"category_scores_gemma":[0.01627273,0.001515927,0.001086314,0.002617101,0.001608291,0.001964224,0.00224202,0.002536901,0.006059205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526378,"about_ca_system_score_gemma":0.002375011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735367,"about_ca_topic_score_gemma":0.00390217,"domain_scores_codex":[0.9834149,0.002225679,0.001038496,0.002917464,0.009649734,0.0007537903],"domain_scores_gemma":[0.9909979,0.002730267,0.0007677987,0.001709703,0.003647781,0.0001465941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000380513,0.0003243929,0.003991011,0.0005022605,0.00008651809,0.0001020599,0.0004135617,0.002520125,0.926338,0.002439284,0.004904186,0.05799817],"study_design_scores_gemma":[0.00005853286,0.0003938821,0.004594586,0.00006502111,0.00008191814,0.0002463304,0.0001083828,0.0274447,0.9457198,0.0009595028,0.02020335,0.0001240516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1220343,0.002001985,0.8413528,0.0006754897,0.0008623358,0.002556239,0.00263919,0.01516149,0.01271609],"genre_scores_gemma":[0.2144103,0.001640122,0.7563401,0.0008918252,0.0002025743,0.0050183,0.003778292,0.003789883,0.01392853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009017292,"threshold_uncertainty_score":0.04762268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006548363271234771,"score_gpt":0.2606688801073281,"score_spread":0.2541205168360934,"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."}}