{"id":"W3043305964","doi":"","title":"Direct Brow Lift","year":2020,"lang":"en","type":"article","venue":"StatPearls","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Eyelid; Medicine; Deformity; Lift (data mining); Surgery; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00007504046,0.00005987635,0.0001473855,0.00003199,0.00002414344,0.00001147758,0.00003200157,0.00003439391,0.0005546111],"category_scores_gemma":[0.0002761925,0.00005151587,0.00006237368,0.0001424331,0.00002349777,0.00003856395,0.00001536328,0.00008158202,0.0002594986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274703,"about_ca_system_score_gemma":0.00005207579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144852,"about_ca_topic_score_gemma":8.796026e-7,"domain_scores_codex":[0.999475,0.00001845803,0.00011216,0.0001213102,0.0001599505,0.0001131319],"domain_scores_gemma":[0.999654,0.00002819462,0.00002000088,0.00008698132,0.0000466212,0.0001642126],"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":[0.000275331,0.0001046486,0.01019128,0.00006703074,0.00006199677,0.0002317224,0.00170422,0.000001347923,0.03084012,0.003356446,0.8634647,0.08970112],"study_design_scores_gemma":[0.0002255363,0.0001301524,0.002629372,0.0000177306,0.000007518512,0.000002941646,0.00004527016,0.00006628165,0.02188499,0.00007126629,0.974851,0.00006794772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08113173,0.0003338794,0.002076812,0.0909517,0.0002121061,0.0005241454,0.00003848282,0.001533074,0.8231981],"genre_scores_gemma":[0.9700677,0.0000574401,0.001050711,0.023709,0.00005887581,0.000007713691,0.0000112447,0.00001631081,0.005020951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.888936,"threshold_uncertainty_score":0.6072603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826536840565562,"score_gpt":0.2959497747068498,"score_spread":0.2576844063011942,"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."}}