{"id":"W3159758686","doi":"10.2196/22487","title":"Accuracy of Smart Scales on Weight and Body Composition: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Assistance Publique - Hôpitaux de Paris; MSD France","keywords":"Observational study; Computer science; Psychology; Medicine; Statistics; Mathematics","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":[0.0004228807,0.0001351011,0.0003536587,0.0001034491,0.0001842857,0.00001512145,0.00003694841,0.00006619785,0.00003962806],"category_scores_gemma":[0.00003617699,0.0001226304,0.00003066875,0.0001915448,0.00006915336,0.00008004256,0.00003362442,0.0002239456,0.000002543076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018671,"about_ca_system_score_gemma":0.0003505807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002723425,"about_ca_topic_score_gemma":0.00001878101,"domain_scores_codex":[0.9984704,0.0001606807,0.0004367977,0.000302555,0.0004225957,0.0002070114],"domain_scores_gemma":[0.9988767,0.0001506093,0.0001733048,0.000244857,0.0002618303,0.0002927039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001735072,0.005039797,0.9391858,0.003707752,0.00009782135,0.00008024234,0.0009486839,4.250726e-7,0.01144523,0.01173815,0.01005024,0.01597079],"study_design_scores_gemma":[0.00188903,0.002125649,0.9911065,0.0002786505,0.00006955504,0.00007168517,0.0001410441,0.0000551737,0.002525278,0.000273884,0.001367437,0.00009607503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871773,0.001031416,0.00007491477,0.01000557,0.00007569358,0.0008639607,0.00001901677,0.00008104311,0.0006711606],"genre_scores_gemma":[0.9940601,0.0005962261,0.001730392,0.003286328,0.0001354064,0.00005521847,0.00007659014,0.00001340494,0.00004631704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05192075,"threshold_uncertainty_score":0.5000724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394043472780041,"score_gpt":0.4178526198448292,"score_spread":0.278448272566825,"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."}}