{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260129,0.0001093297,0.0004502386,0.0005703431,0.00003400744,0.000001641341,0.00005387948,0.00001875646,0.00009186742],"category_scores_gemma":[0.00008704737,0.00007727661,0.0001249853,0.00100803,0.0001091318,0.00002105597,0.00001590004,0.0000341809,0.000001989342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002770601,"about_ca_system_score_gemma":0.00004546317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001326253,"about_ca_topic_score_gemma":0.00001361016,"domain_scores_codex":[0.9989448,0.00002363853,0.00032747,0.000207677,0.0003499125,0.0001465663],"domain_scores_gemma":[0.9993078,0.0002068319,0.0000907865,0.0001345716,0.0001788228,0.00008118899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004345593,0.0005823554,0.8928716,0.0007387702,0.007294853,0.00004462344,0.001773834,0.0147214,0.05700663,0.0003765637,0.01773086,0.002512875],"study_design_scores_gemma":[0.001497847,0.002635148,0.9894112,0.00007253791,0.003119723,0.00000313309,0.0002992714,0.001154788,0.001453563,0.00008043054,0.0002189821,0.00005339511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873571,0.000142756,0.008273702,0.001828542,0.00003687368,0.0006542819,0.001480861,0.0000622232,0.000163596],"genre_scores_gemma":[0.9980328,0.00002018175,0.001098324,0.000092422,0.0001328954,0.0001301309,0.0003426485,0.00001251325,0.000138074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09653954,"threshold_uncertainty_score":0.3151249,"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."}}