{"id":"W4254863085","doi":"10.1515/iupac.88.0701","title":"Duodenum","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Vitamin K Research Studies","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009288462,0.0005852319,0.0009694221,0.0003058266,0.0007888817,0.0003307608,0.001379419,0.0004615621,0.001210471],"category_scores_gemma":[0.005397934,0.0005119785,0.0002612604,0.0001199332,0.000533496,0.0001686174,0.0007309384,0.00130238,0.00002552244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007666679,"about_ca_system_score_gemma":0.0003832477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005509223,"about_ca_topic_score_gemma":0.003742319,"domain_scores_codex":[0.9954753,0.0001546956,0.0004437016,0.0007297962,0.002295973,0.0009005535],"domain_scores_gemma":[0.9961756,0.0001914949,0.0003894376,0.002187042,0.0008154742,0.0002409573],"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":[0.0002929764,0.0002012105,0.00002487125,0.0003904466,0.0001670272,0.0002243148,0.000029053,8.968149e-7,0.00000798489,5.825011e-7,0.9943712,0.004289429],"study_design_scores_gemma":[0.0009053948,0.0004157542,0.0002967081,0.0005337079,0.0001717781,0.00001773519,0.00004270543,0.000006292908,0.00003485166,0.000120405,0.9969414,0.0005132757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007590993,0.002248391,0.000007000204,0.00324207,0.003422908,0.000456838,0.9902914,0.0001091673,0.0001463619],"genre_scores_gemma":[0.00005619055,0.0007094934,0.00004668583,0.00025906,0.002350262,0.0000296363,0.9953066,0.000069847,0.001172213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005015258,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046679175238904,"score_gpt":0.493459391564712,"score_spread":0.462992599812323,"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."}}