{"id":"W4206080996","doi":"10.1097/00042728-200811001-00005","title":"A Validated Grading Scale for Marionette Lines","year":2008,"lang":"en","type":"article","venue":"Dermatologic Surgery","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intraclass correlation; Grading (engineering); Rating scale; Scale (ratio); Computer science; Artificial intelligence; Grading scale; Orthodontics; Medicine; Mathematics; Statistics; Psychometrics; Cartography; Surgery; Geography; Biology","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":[0.005741349,0.0005254163,0.0005147338,0.0023198,0.0003678747,0.0006139191,0.0008774499,0.0006048656,0.00628515],"category_scores_gemma":[0.01828381,0.0001993034,0.0008073808,0.0008150241,0.0004737611,0.0008303659,0.0008968278,0.0006941212,0.001436569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004991709,"about_ca_system_score_gemma":0.0007893189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238222,"about_ca_topic_score_gemma":0.001468915,"domain_scores_codex":[0.9956273,0.001290507,0.000812582,0.0003352092,0.00179718,0.0001373173],"domain_scores_gemma":[0.9894621,0.002961274,0.001462144,0.0007716222,0.004971916,0.0003709401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002253772,0.00164843,0.2530615,0.001787298,0.0003017343,0.001032843,0.002301942,0.004071255,0.06143747,0.004632843,0.03113644,0.6363345],"study_design_scores_gemma":[0.0008667376,0.007252985,0.8511379,0.0009972502,0.0003122402,0.008922995,0.002525695,0.031895,0.02538382,0.003577837,0.06662802,0.0004994087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7583229,0.002326068,0.1738738,0.0009735377,0.001000194,0.01457964,0.005201399,0.001195747,0.04252673],"genre_scores_gemma":[0.7048382,0.0009782148,0.2790818,0.0003071869,0.0001380812,0.005958832,0.002919232,0.0001343631,0.005644198],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00628515,"threshold_uncertainty_score":0.0303635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08809264955335934,"score_gpt":0.3021093394235419,"score_spread":0.2140166898701826,"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."}}