{"id":"W6968528470","doi":"10.5281/zenodo.15855127","title":"Global Dermal Fillers Market Analysis 2024-2032","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market share; Limiting; Market analysis; Wrinkle; European market; Market research; Product (mathematics); Single market","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":[0.0006719634,0.001000503,0.0003995849,0.002742448,0.0006864223,0.003295397,0.000735118,0.001481008,0.2331666],"category_scores_gemma":[0.001014355,0.0002349283,0.0009211382,0.001805832,0.0003087334,0.002105239,0.001031153,0.001516689,0.1153911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789686,"about_ca_system_score_gemma":0.002927392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004554429,"about_ca_topic_score_gemma":0.006338252,"domain_scores_codex":[0.9992362,0.00002994231,0.00001691932,0.00007795651,0.0005438379,0.00009507917],"domain_scores_gemma":[0.9990014,0.00007959356,0.00005530289,0.00002376423,0.000607115,0.0002328223],"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":[0.0002468314,0.0001051132,0.0005572433,0.0003977413,0.00001759616,0.0001958712,0.00002291385,0.0002360302,0.004877478,0.006428394,0.8091087,0.1778061],"study_design_scores_gemma":[0.00003234208,0.0001357593,0.002011347,0.0001617593,0.00001583776,0.0002140569,0.00004484052,0.0002578984,0.00156496,0.0007272362,0.9948202,0.00001381123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00752955,0.01643427,0.00283355,0.007904178,0.004770515,0.0006321482,0.04830893,0.002606716,0.9089802],"genre_scores_gemma":[0.04585929,0.02299709,0.004220047,0.008894789,0.002837669,0.0005550171,0.07455307,0.001130188,0.8389527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2331666,"threshold_uncertainty_score":0.7800199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868687186553636,"score_gpt":0.2904050454721865,"score_spread":0.2517181736066502,"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."}}