{"id":"W4245816092","doi":"10.1515/iupac.88.0585","title":"Cervical Rib","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Voice and Speech Disorders","field":"Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001160639,0.001355222,0.001650891,0.004664403,0.001130397,0.003702699,0.002625698,0.002072908,0.2987631],"category_scores_gemma":[0.01647734,0.0005351005,0.001669159,0.007575904,0.0003956184,0.002749332,0.002586718,0.001597353,0.2540463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791108,"about_ca_system_score_gemma":0.003737614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863011,"about_ca_topic_score_gemma":0.0314613,"domain_scores_codex":[0.9980372,0.0002915722,0.0004375352,0.0006682852,0.0003223713,0.0002430123],"domain_scores_gemma":[0.9943516,0.001623146,0.0006214602,0.001082983,0.001973597,0.0003471021],"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":[0.0001159213,0.00001187967,0.001212232,0.002126061,0.00003933115,0.00004330443,0.00003298357,0.00009708361,0.0000794705,0.001086646,0.9857374,0.009417693],"study_design_scores_gemma":[0.0001106509,0.00001280966,0.003115081,0.001505179,0.0000416073,0.0001199383,0.000102229,0.0001152177,0.0001645751,0.002046524,0.9926426,0.00002363239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001203331,0.0002622305,0.0001183871,0.0001475932,0.00006514114,0.00004160406,0.9942753,0.0003064707,0.004663032],"genre_scores_gemma":[0.0006755767,0.000371824,0.000495352,0.0003538059,0.00003706399,0.0002386995,0.9935333,0.0001430408,0.004151336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2987631,"threshold_uncertainty_score":0.9994621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224429163340897,"score_gpt":0.4581969136947996,"score_spread":0.4359526220613907,"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."}}