{"id":"W4248699842","doi":"10.1515/iupac.83.0431","title":"Pipettor","year":2016,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Multidisciplinary approach; Computer science; Process (computing); Data science; Management science; Sociology; Engineering; Linguistics; Biology; Mathematics; Social 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002565048,0.002155876,0.001602287,0.00371157,0.001506548,0.004285493,0.003296866,0.001722908,0.1071007],"category_scores_gemma":[0.01348038,0.00105403,0.00227259,0.006796499,0.0007505854,0.003826788,0.003657887,0.003315343,0.2223169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632938,"about_ca_system_score_gemma":0.003532402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714068,"about_ca_topic_score_gemma":0.0298127,"domain_scores_codex":[0.9966663,0.0005708155,0.0005063718,0.0009497678,0.0008905819,0.0004161678],"domain_scores_gemma":[0.9917845,0.001859057,0.0006733227,0.00333513,0.001910952,0.0004370992],"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":[0.00009778597,0.00001989488,0.001393572,0.0005118224,0.00001627416,0.0000157313,0.00004424147,0.0001675481,0.0001204403,0.001119661,0.9911082,0.005384816],"study_design_scores_gemma":[0.0001036952,0.00002117502,0.003396591,0.000312384,0.00001649295,0.00005664746,0.00009681063,0.0004016834,0.000424469,0.002308534,0.9928269,0.00003448484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002954692,0.00008734793,0.0005498015,0.0001304543,0.0000658832,0.00005553274,0.9922733,0.002843114,0.003699176],"genre_scores_gemma":[0.0006443637,0.00009702235,0.0009236076,0.0001299316,0.00001506862,0.0002118338,0.9951651,0.0006610307,0.002151992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8928993,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632506325161312,"score_gpt":0.4121366985455693,"score_spread":0.3958116352939561,"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."}}