{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000985301,0.0001201853,0.0001301999,0.0001872259,0.00009077269,0.00001218081,0.0002216371,0.0002336233,0.00002684312],"category_scores_gemma":[0.0006588371,0.00006754814,0.00004688114,0.0003610046,0.0001732887,0.000006430846,0.0002740369,0.00005139049,0.000006731409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008754598,"about_ca_system_score_gemma":0.00003763314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002233154,"about_ca_topic_score_gemma":0.00001706349,"domain_scores_codex":[0.9992055,0.00004268508,0.0002030452,0.0002863861,0.00008836346,0.0001739978],"domain_scores_gemma":[0.9992567,0.0000473034,0.0001018342,0.0004424028,0.00009741519,0.00005428622],"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":[0.0001826113,0.00003909802,0.001005542,0.000005487373,0.00002778763,6.660281e-7,0.0000114201,0.00005983611,0.9801667,0.0002675501,0.008693756,0.009539503],"study_design_scores_gemma":[0.0006404013,0.00149099,0.001080219,0.00004373139,0.00001904153,0.00001665692,0.00002720273,0.000263396,0.9830952,0.0006867935,0.01248646,0.0001499479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890681,0.0007971093,0.00751249,0.001834922,0.0001746968,0.0003138036,0.00002887929,0.0001235126,0.0001464743],"genre_scores_gemma":[0.9985159,0.0002348692,0.0008073733,0.0000971384,0.00005758261,0.00006020656,0.000007384344,0.00001493401,0.0002046205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009447779,"threshold_uncertainty_score":0.2754533,"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."}}