{"id":"W4242279209","doi":"10.1515/iupac.83.0332","title":"Automated Device","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; 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":[0.001260584,0.002242235,0.001456919,0.002956936,0.001059094,0.002780828,0.003011509,0.001486462,0.06581336],"category_scores_gemma":[0.005506247,0.0006040182,0.001569503,0.004265275,0.0005235216,0.002715827,0.002224399,0.002241372,0.1454301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332146,"about_ca_system_score_gemma":0.001904893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132387,"about_ca_topic_score_gemma":0.0206155,"domain_scores_codex":[0.9981112,0.0002290198,0.0002807527,0.0005598463,0.00059753,0.0002214998],"domain_scores_gemma":[0.9966438,0.0005527289,0.0003048287,0.001392648,0.0009202505,0.0001857619],"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":[0.0001659154,0.00005089366,0.002167119,0.0006172792,0.00002885409,0.00004062905,0.00002743309,0.0005662719,0.000219311,0.001417518,0.9786838,0.01601507],"study_design_scores_gemma":[0.0001072903,0.00003494354,0.005185584,0.0003250076,0.00002439038,0.0001753346,0.00009140906,0.001526569,0.001028019,0.002663213,0.9887976,0.00004069185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009245175,0.0002383716,0.001576029,0.000127619,0.0001176059,0.00009667967,0.9874752,0.002904273,0.00653975],"genre_scores_gemma":[0.001819232,0.0001575834,0.001871592,0.000110405,0.00001605789,0.0001978934,0.9929975,0.0001780075,0.002651753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06581336,"threshold_uncertainty_score":0.2201676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298995187553878,"score_gpt":0.4447136084012008,"score_spread":0.421723656525662,"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."}}