{"id":"W4402533120","doi":"10.2147/ccid.s465155","title":"Turn Your AART into a HIT Using a Complete Range of Aesthetic Injectables: Methodology for Combining Products to Maximise Patient Outcomes","year":2024,"lang":"en","type":"article","venue":"Clinical Cosmetic and Investigational Dermatology","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"Galderma","keywords":"Medicine; Range (aeronautics); Engineering","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":[0.01877868,0.0006389959,0.0004900339,0.001812642,0.001075925,0.002298254,0.0008757359,0.0008837996,0.006129339],"category_scores_gemma":[0.02445726,0.0004099049,0.00103094,0.0007543104,0.001983808,0.002240835,0.00274463,0.001493518,0.003060324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071943,"about_ca_system_score_gemma":0.002392677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006006644,"about_ca_topic_score_gemma":0.00153993,"domain_scores_codex":[0.9888799,0.005320228,0.0008208596,0.0006845639,0.004088909,0.0002055097],"domain_scores_gemma":[0.9917092,0.00275131,0.001951808,0.001299007,0.001797198,0.0004915525],"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":[0.0003978286,0.0007502847,0.01523805,0.001076168,0.0001184277,0.0003654769,0.005202024,0.001473305,0.0259772,0.00948426,0.01053535,0.9293815],"study_design_scores_gemma":[0.0005908064,0.01702079,0.1090032,0.005310229,0.0008664751,0.0174276,0.0186452,0.01821346,0.1403638,0.04576235,0.6260077,0.0007883118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1778578,0.008180661,0.7098026,0.009631947,0.001184536,0.006163814,0.0004692687,0.002650577,0.08405866],"genre_scores_gemma":[0.2758078,0.00364531,0.7033955,0.002544368,0.0003640876,0.002986855,0.0001431672,0.0004530947,0.01065985],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01877868,"threshold_uncertainty_score":0.09931237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2908326049149917,"score_gpt":0.4482751942663294,"score_spread":0.1574425893513377,"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."}}