{"id":"W4205800827","doi":"10.2196/30121","title":"Effectiveness of a Smartwatch App in Detecting Induced Falls: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smartwatch; False positive paradox; Medicine; Gold standard (test); False positive rate; Predictive value; Observational study; Poison control; Population; Fall prevention; Injury prevention; Physical medicine and rehabilitation; Machine learning; Artificial intelligence; Computer science; Medical emergency; Wearable computer; Internal medicine; Embedded system; Environmental health","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":[0.004241539,0.0003973239,0.0007806553,0.0006649846,0.0004693199,0.000877131,0.0004722387,0.0008819175,0.0007898314],"category_scores_gemma":[0.01696646,0.0004306299,0.001283834,0.0006401766,0.0003793516,0.000971872,0.0005782772,0.0006510299,0.0003552547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751955,"about_ca_system_score_gemma":0.0004216965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292952,"about_ca_topic_score_gemma":0.003065449,"domain_scores_codex":[0.9961554,0.001378075,0.0006895945,0.0005519317,0.001065895,0.0001590947],"domain_scores_gemma":[0.9853362,0.005265146,0.00506973,0.00102453,0.002682525,0.0006216941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001514833,0.001063457,0.991052,0.0001417776,0.000344538,0.00005205013,0.0004050136,0.00009194428,0.0002337263,0.00001158813,0.0001731329,0.004915963],"study_design_scores_gemma":[0.0001245606,0.007142196,0.9903989,0.00006053424,0.0002903696,0.000237109,0.0003014814,0.0009219346,0.0001957497,0.00002492186,0.0002854167,0.00001694015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989777,0.0001847862,0.0001849815,0.00001673056,0.000006489974,0.0001296206,0.0002560533,0.0000062969,0.0002374021],"genre_scores_gemma":[0.9988232,0.0001412371,0.0003948311,0.00004620976,0.00001408426,0.000106991,0.0003644203,0.000003924335,0.0001050173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004241539,"threshold_uncertainty_score":0.02243167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2135474729903964,"score_gpt":0.5210786948408811,"score_spread":0.3075312218504846,"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."}}