{"id":"W4387016781","doi":"10.2196/47252","title":"Smartwatch Technology in Medicine: A Call for Future Dermatologic Research","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smartwatch; Medicine; Computer science; Wearable computer; Embedded system","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":[0.0003739077,0.0001672204,0.0005440114,0.002067957,0.0001320339,0.000007366483,0.0001943262,0.0004491842,0.00009894554],"category_scores_gemma":[0.0002552552,0.0001380898,0.00006684801,0.00213301,0.000309768,0.00002695835,0.0001429471,0.0005411996,0.0004489347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001062,"about_ca_system_score_gemma":0.00007238131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002304307,"about_ca_topic_score_gemma":0.000164592,"domain_scores_codex":[0.9980318,0.0001175781,0.0004156948,0.0004346459,0.0002469743,0.0007532915],"domain_scores_gemma":[0.9989694,0.0002605043,0.00005586284,0.0004310431,0.0001694795,0.0001137199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006651485,0.0002664325,0.0495109,0.00114039,0.0001082087,0.009968533,0.001362309,0.000003945134,0.003620882,0.02999246,0.8881556,0.01520522],"study_design_scores_gemma":[0.003479369,0.0004422395,0.01122579,0.00009813726,0.00002579445,0.01205684,0.00441718,0.001032454,0.001051288,0.008655501,0.9573241,0.0001912767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6311254,0.0004726114,0.0001515181,0.357988,0.0008494218,0.002761489,0.000003863332,0.0008171607,0.005830545],"genre_scores_gemma":[0.9921886,0.0002551158,0.0002935542,0.001742214,0.0002474951,0.001641585,0.00004719993,0.00003585652,0.003548335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3610632,"threshold_uncertainty_score":0.5770296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017137259094053,"score_gpt":0.4020789117073904,"score_spread":0.3419075391164499,"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."}}