{"id":"W2913591821","doi":"10.2196/12114","title":"The Aachen Falls Prevention Scale: Multi-Study Evaluation and Comparison","year":2019,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Risk assessment; Scale (ratio); Fall prevention; Medicine; Measure (data warehouse); Physical therapy; Medical emergency; Poison control; Injury prevention; Computer science; Data mining; Geography; Computer security; Cartography","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":[0.002450797,0.0001130248,0.0001779302,0.00004585193,0.0007352951,0.00003202169,0.0001181692,0.00009038567,0.00003539556],"category_scores_gemma":[0.00004060015,0.00008400309,0.00004115399,0.0001145611,0.00002305738,0.0001765809,0.0001004967,0.0003797145,0.0002835527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009368759,"about_ca_system_score_gemma":0.0000605932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007438912,"about_ca_topic_score_gemma":0.0004904072,"domain_scores_codex":[0.9977591,0.0009573525,0.0004034438,0.0002739156,0.0003131354,0.0002930607],"domain_scores_gemma":[0.9990817,0.0001916769,0.0002509381,0.0003003991,0.0001246962,0.00005063666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002376502,0.0004170374,0.9584381,0.00008032651,0.00002603266,1.313324e-7,0.00787209,0.000002910282,0.001833283,0.00003868798,0.0008942166,0.03037344],"study_design_scores_gemma":[0.002362315,0.00007237019,0.9613482,0.0001739523,0.00004281093,3.174909e-7,0.01290126,0.02074517,0.000001696832,0.000189055,0.002062879,0.0001000184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919527,0.0004381342,0.0002976778,0.0001804878,0.0006090194,0.004011185,0.000001559452,0.00007319975,0.002436092],"genre_scores_gemma":[0.9940423,0.00002463899,0.0001784474,0.00007073386,0.0001270326,0.0004902887,0.00002255577,0.00001640055,0.005027574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03027342,"threshold_uncertainty_score":0.565537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07104632132662006,"score_gpt":0.4589642396670327,"score_spread":0.3879179183404127,"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."}}