{"id":"W4252085549","doi":"10.1515/iupac.88.1173","title":"Paramesonephric Duct","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","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; Data mining; Philosophy","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":[0.0002382089,0.0009110561,0.001163114,0.00004792066,0.000555217,0.000242111,0.001434992,0.0009083551,0.01149753],"category_scores_gemma":[0.001377834,0.0008719232,0.0004281408,0.00007112027,0.0004341539,0.00008909457,0.0005966445,0.001359179,0.00001251009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004164192,"about_ca_system_score_gemma":0.000656796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009798082,"about_ca_topic_score_gemma":0.0001257036,"domain_scores_codex":[0.9964717,0.00001465245,0.0006279742,0.0009756381,0.001188962,0.0007210911],"domain_scores_gemma":[0.9957542,0.0001167661,0.0007045937,0.002738619,0.0004175823,0.000268218],"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":[0.0001438066,0.000267671,0.00002534301,0.001698201,0.0003807463,0.000366307,0.00001327589,5.969846e-7,0.0007032406,3.316868e-7,0.9951636,0.001236862],"study_design_scores_gemma":[0.0008652717,0.00001595752,0.000005599002,0.0006138246,0.0003189635,0.00009784692,0.00006991282,0.000002445447,0.004436465,0.00006137837,0.992598,0.0009143229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001413063,0.003031561,0.000001452339,0.0002712805,0.0003780871,0.00007086027,0.99128,0.0001345813,0.003419095],"genre_scores_gemma":[0.0002747168,0.00177644,0.00002326074,0.00007467704,0.002492474,0.00003194181,0.9842253,0.00005508308,0.01104614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01148502,"threshold_uncertainty_score":0.9993731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202370632028249,"score_gpt":0.4126084300663872,"score_spread":0.3923713668635623,"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."}}