{"id":"W4234715689","doi":"10.1515/iupac.88.1168","title":"Palate","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Oral and gingival health research","field":"Health Professions","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":[0.001266909,0.001386571,0.001271823,0.004205607,0.001007633,0.003699485,0.002173268,0.001613389,0.2778824],"category_scores_gemma":[0.009894606,0.00063257,0.001484429,0.006533562,0.0004113849,0.003276253,0.002847301,0.001606925,0.3357115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509968,"about_ca_system_score_gemma":0.002381874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343865,"about_ca_topic_score_gemma":0.02122355,"domain_scores_codex":[0.9982195,0.0002860878,0.0003847724,0.0005116937,0.0003990662,0.0001988146],"domain_scores_gemma":[0.9957271,0.001036392,0.0004797459,0.0009448924,0.00154478,0.0002671848],"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":[0.00006241319,0.00001016897,0.0007141909,0.0009857705,0.00001381779,0.00002243674,0.00003287777,0.00006307776,0.00008380188,0.0008395354,0.9894062,0.007765708],"study_design_scores_gemma":[0.00004855857,0.000008318579,0.002091651,0.0005222546,0.000009807984,0.0000532437,0.000096679,0.0000721272,0.0001162534,0.0009942533,0.9959727,0.00001420121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000109733,0.0001304312,0.0001466579,0.0001324703,0.00006694032,0.00003883264,0.9947929,0.000341332,0.004240676],"genre_scores_gemma":[0.0003861728,0.000208286,0.0004820085,0.000237286,0.00002271836,0.0001457545,0.9947597,0.0001348695,0.003623135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7221176,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296156195638788,"score_gpt":0.6563553884983654,"score_spread":0.5267397689344866,"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."}}