{"id":"W3196919610","doi":"10.1097/prs.0000000000008360","title":"Seeing Is Not Believing: Facial Distortion in Smartphone Photography","year":2021,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Photography; Magnification; Digital photography; Distortion (music); Lens (geology); Gaze; Camera phone; Medicine; Computer graphics (images); Visual arts; Computer vision; Computer science; Optics; Art; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002987111,0.0002576545,0.000707733,0.0005715698,0.00006276276,0.00003850904,0.00005220426,0.0001035942,0.0005233217],"category_scores_gemma":[0.003711234,0.0002621545,0.0002430468,0.0009028896,0.000328374,0.0002568988,0.00005278303,0.0003994606,0.00007111717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801899,"about_ca_system_score_gemma":0.0003821356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004239491,"about_ca_topic_score_gemma":0.00002324442,"domain_scores_codex":[0.9978716,0.00006399422,0.0006223792,0.000551461,0.0004416734,0.0004488424],"domain_scores_gemma":[0.9973751,0.001735565,0.000162601,0.0002873181,0.0002298207,0.0002095357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002200841,0.0001572991,0.8932223,0.0001412037,0.0001093548,0.0007519489,0.0003373214,0.000002059761,0.006133975,0.00001531478,0.0009333206,0.09797583],"study_design_scores_gemma":[0.001807441,0.00007543505,0.9570397,0.00177504,0.0001664338,0.001801448,0.0009134999,0.0002178285,0.03124522,0.0002953436,0.004172252,0.0004903764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895232,0.0003899957,0.0006619174,0.000329749,0.002728577,0.0001603199,0.0000439976,0.00008916794,0.006073058],"genre_scores_gemma":[0.9979442,0.00006905785,0.0007128827,0.0006476443,0.0002545835,0.00002427648,0.00008287052,0.00003627247,0.0002281714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09748545,"threshold_uncertainty_score":0.9999831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216355120289954,"score_gpt":0.2518038099896243,"score_spread":0.2301682979606288,"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."}}