{"id":"W4251024754","doi":"10.1515/iupac.88.1071","title":"Monophthalmos","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; 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":[0.0008071574,0.001102394,0.001125431,0.003851066,0.0006751958,0.002075861,0.001304394,0.0009839559,0.1090053],"category_scores_gemma":[0.006060555,0.0004700607,0.001377273,0.005345094,0.000407922,0.001859891,0.001783738,0.001301972,0.06024012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009659897,"about_ca_system_score_gemma":0.001861894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009404199,"about_ca_topic_score_gemma":0.01775089,"domain_scores_codex":[0.9989536,0.0001539105,0.0002727986,0.0002993796,0.0002284314,0.00009187304],"domain_scores_gemma":[0.997296,0.0009602913,0.0006423273,0.0005626954,0.0004100307,0.0001285881],"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":[0.00040623,0.00003207884,0.004280888,0.007465364,0.0001378749,0.0001204006,0.00008270777,0.0004152778,0.0005690103,0.002506995,0.9539783,0.03000492],"study_design_scores_gemma":[0.00009300246,0.00002048991,0.00747965,0.001346924,0.00006719972,0.0002042287,0.00006398791,0.0001037744,0.000292874,0.00176551,0.9885364,0.00002603543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003691647,0.0005651466,0.0001514015,0.00009793381,0.00004164557,0.00002475796,0.9956376,0.0001954626,0.002916898],"genre_scores_gemma":[0.001720726,0.001010871,0.0007111204,0.0002323261,0.00002404069,0.0001623712,0.9934549,0.000120519,0.002563143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1090053,"threshold_uncertainty_score":0.3646592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285443060484062,"score_gpt":0.4222697780729984,"score_spread":0.3994153474681578,"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."}}