{"id":"W4248003975","doi":"10.1515/iupac.88.0831","title":"Gall Bladder","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural safety and regulations","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002199247,0.000368264,0.0004307503,0.00001303594,0.0007837747,0.000168612,0.0007920645,0.0005138119,0.007539611],"category_scores_gemma":[0.0001686313,0.0001075969,0.0002705443,0.0001273089,0.0001678341,0.0001317989,0.0002204458,0.0004345512,0.00001585032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009873157,"about_ca_system_score_gemma":0.00006012888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006294485,"about_ca_topic_score_gemma":0.01536047,"domain_scores_codex":[0.9980391,0.00005947869,0.0003171348,0.0004579896,0.0007333671,0.0003928955],"domain_scores_gemma":[0.9988391,0.00008926889,0.0003318751,0.0002283085,0.0003289563,0.0001824226],"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":[0.00002566588,0.0001216753,0.000009808803,0.00001430911,0.00005304685,0.00001758587,0.000002793389,0.000001726231,0.0001324533,0.000005013917,0.9905034,0.009112577],"study_design_scores_gemma":[0.000125303,0.0001439217,0.009079626,0.00009866995,0.00008460586,0.000015666,0.00002734313,0.00000168999,0.000006205147,0.0001389231,0.9898871,0.0003909408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001174587,0.0005591321,9.204951e-7,0.003267923,0.0005208168,0.0002524412,0.9940201,0.00007136674,0.0001327339],"genre_scores_gemma":[0.0002942266,0.0008828755,0.00001037021,0.000198539,0.002351118,0.000009830812,0.9940122,0.00000124331,0.00223957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01473102,"threshold_uncertainty_score":0.9933676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004767914079745,"score_gpt":0.3706158365026935,"score_spread":0.350568157361896,"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."}}