{"id":"W4238517208","doi":"10.1515/iupac.83.0336","title":"Batch","year":2016,"lang":"en","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); Computer science; Field (mathematics); Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); 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":[],"consensus_categories":[],"category_scores_codex":[0.001965302,0.00236222,0.001407819,0.003115387,0.001338742,0.004141389,0.003576847,0.001697608,0.1407484],"category_scores_gemma":[0.009129761,0.0009359617,0.00196827,0.005557214,0.0005436735,0.003456853,0.002924417,0.002433574,0.2774855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221245,"about_ca_system_score_gemma":0.003115059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02564442,"about_ca_topic_score_gemma":0.03897835,"domain_scores_codex":[0.9968239,0.0004285266,0.0004554094,0.001104143,0.0008013971,0.0003867045],"domain_scores_gemma":[0.994625,0.000774273,0.000494234,0.002186867,0.001581787,0.0003377803],"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":[0.0001094832,0.00002262502,0.001430771,0.0003441095,0.00002516239,0.00001414353,0.00003084286,0.0001831763,0.0001306791,0.001053195,0.9917291,0.004926707],"study_design_scores_gemma":[0.0001268988,0.00001782149,0.004256517,0.0002273265,0.00001809948,0.00006390843,0.0001001533,0.0003918963,0.0004638204,0.001968798,0.9923323,0.0000322917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000234375,0.00004592283,0.0002474245,0.00008689576,0.00004723778,0.00003239584,0.9955983,0.001124947,0.00258247],"genre_scores_gemma":[0.0003979814,0.00003954404,0.0004675844,0.00007187376,0.000008235021,0.00008297057,0.9971684,0.0001781832,0.001585244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1407484,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640853864792717,"score_gpt":0.4268037208220379,"score_spread":0.4103951821741108,"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."}}