{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005797311,0.00005616964,0.0002109607,0.0001118494,0.00002684989,0.000001427716,0.00001390644,0.00005358411,0.0000603361],"category_scores_gemma":[0.000358148,0.00003574243,0.00004760705,0.00009250863,0.00003617192,0.00003818404,0.000008541362,0.00001873935,0.000001672197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125292,"about_ca_system_score_gemma":0.0001033783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002125785,"about_ca_topic_score_gemma":5.514056e-7,"domain_scores_codex":[0.9993305,0.00004491116,0.0002546808,0.0001029122,0.0001885371,0.00007841877],"domain_scores_gemma":[0.9993929,0.0002028406,0.0001457994,0.00006617527,0.0001676325,0.00002465056],"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":[0.0002139459,0.0001210264,0.2640896,0.0003331032,0.00006037853,0.000002195761,0.0007423254,0.000001661946,0.05754983,0.00002507649,0.00103205,0.6758288],"study_design_scores_gemma":[0.001044759,0.0000113116,0.08142935,0.0001807439,0.00005209896,0.00008317984,0.0001684156,0.0001883828,0.9131181,0.000160473,0.003496519,0.0000667097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962358,0.00009113862,0.002720054,0.0003064658,0.00009917055,0.0003525003,0.000002694727,0.00001588873,0.0001762522],"genre_scores_gemma":[0.9987523,0.000009858905,0.001041164,0.00007084775,0.0000128543,0.0000755046,0.000009403489,0.000004134989,0.00002396424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8555682,"threshold_uncertainty_score":0.1457534,"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."}}