{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770547,0.0002406247,0.0001688887,0.0004856398,0.0004695732,0.0005260266,0.0003982744,0.0003836215,0.002571943],"category_scores_gemma":[0.01506809,0.0001611968,0.0002480824,0.0004419589,0.0009805551,0.0008598038,0.0007429098,0.0005710389,0.0001553634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213801,"about_ca_system_score_gemma":0.0004510487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006295693,"about_ca_topic_score_gemma":0.01001116,"domain_scores_codex":[0.9977571,0.0006247565,0.0001625551,0.0001876594,0.001154864,0.000113021],"domain_scores_gemma":[0.9945027,0.003080071,0.001307064,0.0003543611,0.0006211427,0.0001347372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003933217,0.0005468086,0.6925213,0.001560384,0.0002454391,0.008028695,0.02144494,0.001138847,0.02920044,0.003541187,0.004172144,0.2336665],"study_design_scores_gemma":[0.00005040027,0.001239992,0.9373776,0.0003807379,0.0002725517,0.02774793,0.008961547,0.004363507,0.01062497,0.001102198,0.007804885,0.00007368956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894632,0.001777888,0.002246929,0.0005277254,0.00008461106,0.0001713115,0.0001280714,0.000008752811,0.005591666],"genre_scores_gemma":[0.998107,0.000394934,0.0009619272,0.0001676431,0.00002127107,0.00003570138,0.00004665629,0.000007058045,0.0002576847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006295693,"threshold_uncertainty_score":0.01251805,"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."}}