{"id":"W4280604788","doi":"10.18280/isi.270210","title":"Personalized Smart Diet Assistance System in Health Care Prosperity with AI and AR","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"AI in Service Interactions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Augmented reality; Computer science; Health care; Human–computer interaction","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":[0.0005455974,0.0001389908,0.0002036536,0.0001952115,0.0006001678,0.000314871,0.0003358648,0.0000297007,0.00001314922],"category_scores_gemma":[0.0000230699,0.0001350883,0.00002651657,0.0006004071,0.0000614376,0.003267952,0.0002095635,0.0002521203,0.00000714987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852191,"about_ca_system_score_gemma":0.0003048282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006475264,"about_ca_topic_score_gemma":0.0003348485,"domain_scores_codex":[0.9984614,0.0001682689,0.0004559163,0.0001909389,0.00046199,0.0002614568],"domain_scores_gemma":[0.9990461,0.00003347238,0.0003082845,0.0003190328,0.0002202662,0.00007284601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008665266,0.0001819571,0.08270695,0.00865763,0.0001271974,0.0000456314,0.5949551,0.0092246,0.00003553309,0.189168,0.001886492,0.1121443],"study_design_scores_gemma":[0.004581892,0.002312715,0.1239643,0.001788039,0.00002801491,0.00114522,0.190977,0.5633743,0.0001383524,0.001172636,0.1090644,0.001453145],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7227913,0.001847137,0.25342,0.002402705,0.001259242,0.002970012,0.0001420432,0.0008896902,0.01427784],"genre_scores_gemma":[0.9933123,0.000005126671,0.005468273,0.0007070703,0.00001242367,0.000429684,0.00003977893,0.000006794565,0.00001852866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5541497,"threshold_uncertainty_score":0.5508741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008686997171158142,"score_gpt":0.23549916696371,"score_spread":0.2268121697925518,"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."}}