{"id":"W6894050234","doi":"10.5281/zenodo.6326632","title":"Threadlift","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thread (computing); Forehead; Lift (data mining)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006580738,0.00124731,0.0008897485,0.001748998,0.001349028,0.001815296,0.0009814318,0.001949802,0.3369037],"category_scores_gemma":[0.001973246,0.0005183734,0.001722016,0.0006065042,0.0006597819,0.001821154,0.001840757,0.002594125,0.1593947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573844,"about_ca_system_score_gemma":0.0009323796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602121,"about_ca_topic_score_gemma":0.002901016,"domain_scores_codex":[0.9991453,0.00002409671,0.00004818371,0.0001750689,0.0004937872,0.0001134882],"domain_scores_gemma":[0.9992423,0.00012395,0.00007187578,0.00009036487,0.0002005383,0.0002709833],"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":[0.0009594242,0.0003043533,0.00166224,0.0005251245,0.00006230991,0.002425061,0.0001087905,0.0001954872,0.01321626,0.002418473,0.3794405,0.598682],"study_design_scores_gemma":[0.0002382539,0.001405544,0.006177956,0.0005524523,0.0001068163,0.03308722,0.0001421407,0.001264033,0.007719272,0.002501916,0.9467061,0.00009839641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04858072,0.03305403,0.1237168,0.01800443,0.0363443,0.001129115,0.008264606,0.03016438,0.7007415],"genre_scores_gemma":[0.08616694,0.008614258,0.02929362,0.007689793,0.003299115,0.0003881164,0.005132215,0.005607741,0.8538082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3369037,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439206493768289,"score_gpt":0.2742780366493386,"score_spread":0.2303573872725097,"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."}}