{"id":"W4406550450","doi":"10.1016/j.yprs.2013.06.016","title":"10.1016/j.yprs.2013.06.016","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Lift (data mining); Surgery; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005550317,0.001148165,0.0005213977,0.001662961,0.0008551246,0.002442532,0.0009342983,0.003195164,0.8711574],"category_scores_gemma":[0.001264427,0.0003907273,0.0006108432,0.0007029511,0.0008663032,0.002051038,0.001062094,0.001362852,0.7875897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007656548,"about_ca_system_score_gemma":0.00104557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927938,"about_ca_topic_score_gemma":0.001941583,"domain_scores_codex":[0.9997215,0.00002100744,0.00002373002,0.00008064503,0.00008885398,0.00006426811],"domain_scores_gemma":[0.9992425,0.0001328212,0.0001146727,0.00004884216,0.000179717,0.0002813402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003333158,0.0003538346,0.006103289,0.0005780401,0.00005039347,0.0007404214,0.0001234312,0.0002386548,0.001573211,0.004916418,0.1955004,0.7894885],"study_design_scores_gemma":[0.00007222343,0.0002202872,0.008404176,0.001119322,0.00006706121,0.00871512,0.0003858661,0.0003217057,0.0009541747,0.004372365,0.9753322,0.00003544182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008984935,0.0196609,0.003887163,0.007147862,0.0025856,0.0001174066,0.002196138,0.001815681,0.9536044],"genre_scores_gemma":[0.023245,0.007477368,0.002436076,0.001950734,0.0008453645,0.00008289065,0.001507054,0.0003106552,0.9621449],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1288426,"threshold_uncertainty_score":0.1837782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008321636878353267,"score_gpt":0.2127302735083615,"score_spread":0.2044086366300082,"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."}}