{"id":"W4255400203","doi":"10.1515/iupac.83.0412","title":"Liquid Handler","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Process (computing); Field (mathematics); Computer science; Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Linguistics; Biology; Mathematics","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":[0.001907125,0.002544833,0.002071989,0.003552123,0.001115919,0.003701064,0.004426857,0.002111816,0.09127838],"category_scores_gemma":[0.007227239,0.0009002789,0.002259173,0.005404836,0.0007201954,0.003063887,0.003484721,0.003075879,0.1927746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828126,"about_ca_system_score_gemma":0.002912506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227873,"about_ca_topic_score_gemma":0.02342072,"domain_scores_codex":[0.9979038,0.0003023662,0.0003671682,0.0005933348,0.0005856554,0.0002475681],"domain_scores_gemma":[0.9968148,0.0006898759,0.0003699528,0.001141278,0.0007768247,0.000207387],"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":[0.0001663247,0.0000373594,0.001256035,0.00110152,0.00003714141,0.00003897978,0.00003127275,0.0003734771,0.0002772485,0.001136974,0.9876611,0.007882456],"study_design_scores_gemma":[0.0001433862,0.00001810617,0.00245035,0.0003625804,0.00002211144,0.00008455077,0.00006312615,0.0004953106,0.0007557005,0.00210427,0.9934681,0.00003248984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002171213,0.0001306938,0.0004953734,0.00008360407,0.00003822931,0.00004982833,0.9947138,0.002263346,0.002007895],"genre_scores_gemma":[0.0004134129,0.00009912129,0.000901824,0.00009220267,0.000007682248,0.0001629069,0.9971018,0.0002459373,0.000975055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09127838,"threshold_uncertainty_score":0.3053566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500928014582442,"score_gpt":0.3900793832680303,"score_spread":0.3750701031222059,"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."}}