{"id":"W4247682591","doi":"10.1515/iupac.73.0372","title":"Jejunum","year":2016,"lang":"eo","type":"dataset","venue":"IUPAC Standards Online","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Polymer science; Organic chemistry; Computer science; Mathematics; Political science; Data mining; Law","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":[0.0007239008,0.001470134,0.001241774,0.002623891,0.0006556282,0.001636719,0.001762522,0.001553379,0.07014074],"category_scores_gemma":[0.005585281,0.0003853879,0.00149384,0.003680802,0.0002991417,0.001004837,0.001592392,0.001162365,0.07221734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008812249,"about_ca_system_score_gemma":0.00169731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003042,"about_ca_topic_score_gemma":0.01900513,"domain_scores_codex":[0.9990331,0.0001540242,0.0001475492,0.0003510501,0.0001499091,0.0001643095],"domain_scores_gemma":[0.9982874,0.0004273811,0.0003372589,0.0003571569,0.0004422079,0.0001486309],"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":[0.00152163,0.00009195437,0.01317704,0.007078808,0.0002870826,0.0002019162,0.0000771846,0.0004913018,0.0008653449,0.001135308,0.945269,0.02980356],"study_design_scores_gemma":[0.0004627288,0.00007937744,0.02426735,0.001857375,0.000239842,0.0003845766,0.0001369744,0.0002927883,0.0008315924,0.001198131,0.970211,0.00003819716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001088924,0.0005918907,0.0001225114,0.0001139229,0.00006491132,0.00004234601,0.9954917,0.000171233,0.002312727],"genre_scores_gemma":[0.002671025,0.0004243269,0.0003927363,0.0001991283,0.00003204104,0.0001699633,0.9935424,0.00004890543,0.002519432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07014074,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898222515829334,"score_gpt":0.4181653856741708,"score_spread":0.3991831605158775,"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."}}