{"id":"W4249539987","doi":"10.1515/iupac.88.1274","title":"Recessive","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001881664,0.001501203,0.001344212,0.004139401,0.001073285,0.003851884,0.002662828,0.001953264,0.2285571],"category_scores_gemma":[0.01902384,0.0007111392,0.001755459,0.00823371,0.0004509326,0.003229645,0.002758146,0.001920418,0.246681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991732,"about_ca_system_score_gemma":0.004263224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932746,"about_ca_topic_score_gemma":0.03237119,"domain_scores_codex":[0.9967856,0.0005396095,0.0007188987,0.0009661218,0.0006567857,0.0003329324],"domain_scores_gemma":[0.9924414,0.001968155,0.0008262448,0.001717165,0.002660238,0.0003866738],"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":[0.00007140842,0.00001072818,0.0007972686,0.001139925,0.00002451719,0.0000131921,0.00002740479,0.00007584818,0.00006750247,0.0009907342,0.9911829,0.005598602],"study_design_scores_gemma":[0.000107297,0.00001174516,0.002251196,0.0009280352,0.00002301987,0.00004580991,0.00007479549,0.0000941699,0.0001281748,0.001378778,0.9949361,0.00002081688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007654569,0.0001042174,0.0001035914,0.0001255279,0.00004677921,0.00003007778,0.9969978,0.0001980163,0.002317441],"genre_scores_gemma":[0.0002930863,0.000129675,0.000321569,0.000182206,0.00001426086,0.0001560748,0.996967,0.00008785842,0.001848224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7714429,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474059380941755,"score_gpt":0.4727228091964158,"score_spread":0.4479822153869983,"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."}}