{"id":"W4234550079","doi":"10.1515/iupac.88.0721","title":"Egg","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165188,0.001461875,0.001204118,0.003478538,0.0008239006,0.003111587,0.002384828,0.001766952,0.2039923],"category_scores_gemma":[0.009210014,0.0005944389,0.001340497,0.00556149,0.0003718947,0.002685817,0.00245632,0.001490325,0.2294136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385324,"about_ca_system_score_gemma":0.002342714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467831,"about_ca_topic_score_gemma":0.02766877,"domain_scores_codex":[0.9984256,0.0002567429,0.0002773637,0.0005280572,0.0003376858,0.0001745761],"domain_scores_gemma":[0.9966388,0.0009009209,0.0003879971,0.0008203236,0.001030647,0.0002213044],"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":[0.00008313772,0.00001325815,0.00104434,0.001331923,0.00002927674,0.0000232674,0.00003108636,0.0001387176,0.0001260651,0.00105445,0.989435,0.006689398],"study_design_scores_gemma":[0.00007194335,0.000008559742,0.00178045,0.0005065571,0.00001516567,0.00003812111,0.00005487482,0.0001061554,0.0001453501,0.001015241,0.9962434,0.00001426869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008267931,0.0001001508,0.000104528,0.00008057203,0.00003339785,0.00002044015,0.9973183,0.0002995367,0.001960425],"genre_scores_gemma":[0.0002983869,0.0001122206,0.0003269388,0.0001248188,0.000009614188,0.00008023083,0.9973223,0.00009130043,0.00163422],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2039923,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587087045170634,"score_gpt":0.3782449036310655,"score_spread":0.3523740331793592,"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."}}