{"id":"W3164287324","doi":"10.2196/24653","title":"Assessing Sunscreen Protection Using UV Photography: Descriptive Study","year":2021,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advance Queensland; Queensland Government","keywords":"Photography; Sun protection; Computer science; UV filter; Optics; Visual arts; Medicine; Art; Physics; Dermatology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009981621,0.000146617,0.0003250544,0.0002388975,0.000216954,0.0000677674,0.00004248313,0.0001211658,0.0001563738],"category_scores_gemma":[0.00006751737,0.0001418958,0.0001012849,0.0005836351,0.00005878078,0.0002001836,0.00004933259,0.0003631126,0.00001838426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008214901,"about_ca_system_score_gemma":0.0001514526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166283,"about_ca_topic_score_gemma":0.00003581606,"domain_scores_codex":[0.9987147,0.0002390437,0.0002641712,0.0003431536,0.0001717544,0.000267216],"domain_scores_gemma":[0.9993602,0.00002350697,0.00009727968,0.0002427823,0.0001881383,0.0000880772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003063781,0.002125784,0.6379262,0.0003147307,0.0005944882,0.006717235,0.005667942,0.00001693459,0.3262176,0.0001378989,0.0003083232,0.01966646],"study_design_scores_gemma":[0.01034873,0.0005788406,0.5639576,0.0006288125,0.000542157,0.05515208,0.07384429,0.01082789,0.2754355,0.0005579119,0.007200041,0.0009261615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841713,0.0001198725,0.01212843,0.0006000235,0.0002846043,0.001142612,5.151422e-7,0.0001726338,0.001379963],"genre_scores_gemma":[0.9975132,0.00000229479,0.001688684,0.0004024174,0.00008880938,0.0001686965,0.000004844125,0.00002456003,0.0001064842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07396858,"threshold_uncertainty_score":0.5786343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09743310377100031,"score_gpt":0.3702421117896643,"score_spread":0.272809008018664,"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."}}