{"id":"W4382918211","doi":"10.1111/jocd.15867","title":"A practical guide to selecting facial fillers","year":2023,"lang":"en","type":"article","venue":"Journal of Cosmetic Dermatology","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Filler (materials); Table (database); Chart; Selection (genetic algorithm); Computer science; Medicine; Artificial intelligence; Materials science; Composite material; Data mining; Mathematics","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":[0.001784592,0.001836336,0.001098269,0.003496032,0.00104583,0.00166462,0.001620851,0.002568068,0.1759794],"category_scores_gemma":[0.00914427,0.0007128895,0.0008713843,0.001282484,0.00070461,0.002469795,0.00121392,0.003577194,0.1226841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618074,"about_ca_system_score_gemma":0.001945377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819918,"about_ca_topic_score_gemma":0.004665264,"domain_scores_codex":[0.9989318,0.0002836244,0.0001790252,0.00009667417,0.0004251462,0.00008381243],"domain_scores_gemma":[0.9972228,0.001010371,0.0001798597,0.0001464309,0.001125892,0.0003146655],"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":[0.0001096845,0.000371173,0.0009743049,0.0006091235,0.000008433412,0.001959326,0.000321737,0.0003791447,0.002141019,0.001915228,0.6541312,0.3370797],"study_design_scores_gemma":[0.00006637955,0.0002231282,0.001269654,0.001114891,0.00001371007,0.009136299,0.0003882807,0.0008104187,0.0009557763,0.003297205,0.9826679,0.00005636714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01208784,0.05098893,0.2516388,0.06387972,0.01503305,0.009218215,0.01466927,0.02838732,0.5540969],"genre_scores_gemma":[0.02809213,0.04831753,0.5304127,0.03172117,0.003966301,0.00574164,0.008709471,0.003899662,0.3391395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1759794,"threshold_uncertainty_score":0.5887096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419558700759228,"score_gpt":0.4065257290809879,"score_spread":0.3645698590050651,"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."}}