{"id":"W4353100296","doi":"10.18280/ts.400102","title":"Analysis of Genetic Face Images with Respect to Reflexology for Prediction of Diseases","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reflexology; Face (sociological concept); Artificial intelligence; Computer science; Computer vision; Medicine; Pattern recognition (psychology); Physical medicine and rehabilitation; Linguistics; Pathology; Alternative medicine; Philosophy; Massage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002327077,0.000287893,0.0002990704,0.001497038,0.0001370186,0.0002962832,0.0001788933,0.0002734016,0.001625048],"category_scores_gemma":[0.0007916077,0.00007749678,0.0003976704,0.0004881085,0.0001270102,0.0002317721,0.0001987313,0.0002000552,0.000445474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752576,"about_ca_system_score_gemma":0.0001753686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149329,"about_ca_topic_score_gemma":0.001472384,"domain_scores_codex":[0.9998579,0.00002037494,0.000009424481,0.00003414983,0.00005427455,0.00002389163],"domain_scores_gemma":[0.9997807,0.00006547572,0.00003054525,0.00002093652,0.00008765925,0.00001461932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001013827,0.0001689386,0.06150912,0.0002608508,0.0001491539,0.001392658,0.0002484049,0.01948657,0.2432596,0.001851948,0.003234588,0.6674244],"study_design_scores_gemma":[0.00003333863,0.000533438,0.3391325,0.0000671268,0.000220825,0.00418642,0.0006001678,0.5476562,0.100633,0.002667152,0.004200011,0.00006991027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912543,0.0009488338,0.1999448,0.0002341271,0.00009525506,0.0001296539,0.001124032,0.0007398424,0.005529152],"genre_scores_gemma":[0.9513164,0.0004359563,0.04636144,0.00003790294,0.00003283822,0.00004300269,0.0004788861,0.00002192566,0.001271592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001625048,"threshold_uncertainty_score":0.005436361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566359565799815,"score_gpt":0.3134254788264484,"score_spread":0.2777618831684503,"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."}}