{"id":"W4238890069","doi":"10.1515/iupac.88.0421","title":"Alar Plate","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Reconstructive Facial Surgery Techniques","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006448423,0.000537612,0.001344277,0.0003522863,0.0002009329,0.00008664673,0.0004089785,0.0007350019,0.003580084],"category_scores_gemma":[0.001341207,0.000469532,0.0003761856,0.00009670911,0.0004142293,0.0001193235,0.0002002321,0.001066223,0.000009208002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038223,"about_ca_system_score_gemma":0.001410801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002821789,"about_ca_topic_score_gemma":0.0002498401,"domain_scores_codex":[0.9971802,0.00006147174,0.0005471038,0.0006173353,0.001120671,0.0004732643],"domain_scores_gemma":[0.9966977,0.00006126368,0.0005105197,0.001744614,0.0006844818,0.0003014714],"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":[0.0003506501,0.0001573361,0.0007355276,0.0002047133,0.0002366684,0.0007298234,0.000002900004,3.621383e-8,0.0000217102,0.000003501311,0.9870045,0.01055261],"study_design_scores_gemma":[0.000674038,0.0003095179,0.001635192,0.0009146544,0.0003154272,0.0002133695,0.000005596798,0.000001298706,0.0001733229,0.0002004344,0.9951313,0.0004258194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008569539,0.0005407171,0.00005326502,0.0002843581,0.001030363,0.000632223,0.9958811,0.0002174503,0.0005035666],"genre_scores_gemma":[0.00003103137,0.001479535,0.0002917226,0.0003251731,0.00101953,0.00002423168,0.9960943,0.00006154794,0.0006729047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0101268,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225661509571907,"score_gpt":0.4545051624464713,"score_spread":0.4322485473507522,"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."}}