{"id":"W4232513132","doi":"10.1515/iupac.83.0405","title":"Laboratory Information Management Systems (LIMS)","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); Computer science; Process (computing); Field (mathematics); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Biology; Sociology","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":[0.003743229,0.001902718,0.001582264,0.006449483,0.001089264,0.004457116,0.004150569,0.001468418,0.06454538],"category_scores_gemma":[0.01535576,0.001029908,0.001613222,0.01272961,0.0006303269,0.004722119,0.004766001,0.0025792,0.1132639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572535,"about_ca_system_score_gemma":0.004210141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013042,"about_ca_topic_score_gemma":0.01591094,"domain_scores_codex":[0.9965003,0.000708754,0.0009289115,0.000710097,0.0008611484,0.0002908024],"domain_scores_gemma":[0.9921709,0.002074226,0.0009839714,0.0026252,0.001605795,0.0005398052],"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":[0.0001308958,0.00002709818,0.001749189,0.001316041,0.00005461848,0.00004783243,0.00007027459,0.0006834975,0.0002291221,0.002811602,0.9807019,0.01217794],"study_design_scores_gemma":[0.0001263521,0.0000166885,0.002968105,0.0004027387,0.00003082056,0.0000820468,0.00009626922,0.0009974494,0.0006389894,0.004704873,0.9898879,0.00004766981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002044957,0.0001250326,0.0009621105,0.0001275972,0.00002940931,0.00004647682,0.9926296,0.003908821,0.001966306],"genre_scores_gemma":[0.0005631408,0.0001312534,0.001301033,0.00009386361,0.000007205586,0.0001283179,0.9970961,0.0002172804,0.000461845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06454538,"threshold_uncertainty_score":0.2159258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008890471351484875,"score_gpt":0.3527202957831566,"score_spread":0.3438298244316717,"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."}}