{"id":"W4247992581","doi":"10.1515/iupac.83.0419","title":"Module","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; Field (mathematics); Context (archaeology); Computer science; Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; 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":[0.001730159,0.001885495,0.001245737,0.003194303,0.00102751,0.003511746,0.00283994,0.001518791,0.2464519],"category_scores_gemma":[0.01028943,0.00073615,0.001627802,0.004634852,0.0003851929,0.003289033,0.003067563,0.001738791,0.3361376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471884,"about_ca_system_score_gemma":0.002342343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366484,"about_ca_topic_score_gemma":0.02534994,"domain_scores_codex":[0.9979998,0.0003134952,0.0002971384,0.0007215444,0.0003991671,0.0002688018],"domain_scores_gemma":[0.9952468,0.00102293,0.0004561969,0.001620655,0.00129196,0.0003614203],"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":[0.00006400332,0.00001542938,0.00151984,0.0004261729,0.0000192523,0.00001188301,0.00002785981,0.000101511,0.0000871122,0.0008779154,0.9921401,0.004709001],"study_design_scores_gemma":[0.00006500966,0.0000115528,0.003437104,0.0002498729,0.00001483851,0.00004947499,0.0000806589,0.0001721188,0.0002402408,0.001734709,0.9939258,0.00001858487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001266991,0.00003698136,0.0001819473,0.00007790272,0.00002933647,0.00002286444,0.996583,0.0006681829,0.002272985],"genre_scores_gemma":[0.0003653734,0.00004076009,0.0004489419,0.0001070423,0.00001209226,0.0001035604,0.9969416,0.0001857462,0.001794759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7535481,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675600078835411,"score_gpt":0.4153637741664386,"score_spread":0.3986077733780845,"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."}}