{"id":"W2521108505","doi":"10.1097/dss.0000000000000852","title":"Development and Validation of a Photonumeric Scale for Evaluation of Facial Skin Texture","year":2016,"lang":"en","type":"article","venue":"Dermatologic Surgery","topic":"Skin Protection and Aging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Allergan","keywords":"Inter-rater reliability; Intra-rater reliability; Medicine; Kappa; Confidence interval; Rating scale; Reliability (semiconductor); Scale (ratio); Significant difference; Mean difference; Orthodontics; Mathematics; Statistics; Internal medicine","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":[0.02651312,0.00039808,0.0004132444,0.001484741,0.0003571541,0.0007188853,0.0009894751,0.00059317,0.001579744],"category_scores_gemma":[0.0290487,0.0002081116,0.0008327354,0.0004878267,0.0006606769,0.0007987185,0.001015611,0.000743936,0.0004962906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007045621,"about_ca_system_score_gemma":0.002021215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272248,"about_ca_topic_score_gemma":0.002791116,"domain_scores_codex":[0.9836834,0.006614752,0.002176939,0.0005933212,0.006753136,0.0001785738],"domain_scores_gemma":[0.9796403,0.007376972,0.001906128,0.001664319,0.009037645,0.0003745769],"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":[0.001319128,0.001494115,0.4259423,0.00101847,0.0003008884,0.0004064557,0.002357035,0.002479689,0.02841713,0.001861809,0.006219333,0.5281838],"study_design_scores_gemma":[0.0004269556,0.006644252,0.9453732,0.0007065552,0.0002002447,0.003145234,0.001430097,0.01313854,0.01101914,0.001164413,0.01658971,0.0001616243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8040375,0.003145521,0.1573308,0.001060686,0.0005023619,0.01278495,0.001293098,0.0004652153,0.01937986],"genre_scores_gemma":[0.7511103,0.001017877,0.2391509,0.0003094444,0.0001006631,0.005772761,0.0009326315,0.00007254352,0.001532895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02651312,"threshold_uncertainty_score":0.1402165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0530406257969576,"score_gpt":0.3027234294866001,"score_spread":0.2496828036896425,"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."}}