{"id":"W4394190305","doi":"10.6084/m9.figshare.14946013.v1","title":"Predicting First Time Falls: Validating a Novel Algorithm in Long Term Care","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Algorithm; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000172787,0.0005389748,0.0006032403,0.0003406314,0.0002893486,0.0006365078,0.002743044,0.0005760317,0.02125926],"category_scores_gemma":[0.002940301,0.0006052344,0.0001625049,0.000841171,0.000006801447,0.0003838879,0.002668377,0.001918164,0.001605579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875938,"about_ca_system_score_gemma":0.0006039565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006711458,"about_ca_topic_score_gemma":0.000895441,"domain_scores_codex":[0.9962479,0.0001973021,0.000687055,0.001333549,0.0007592737,0.0007749459],"domain_scores_gemma":[0.9965619,0.0006324117,0.0005352662,0.001739389,0.0003216444,0.0002093784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[5.539766e-7,0.00003492286,0.0003366086,0.003638015,0.00001623157,0.0005467238,0.0005003933,0.0001881212,2.861754e-7,1.628234e-7,0.9823645,0.01237349],"study_design_scores_gemma":[0.0004456898,0.00007277413,0.003802844,0.03014266,0.0000130205,0.0001478803,0.00005496299,0.0427388,0.000009215657,7.876461e-7,0.9216529,0.0009184863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004244966,0.001240306,0.0001226477,0.00009986047,0.0002971581,0.0005151019,0.9973983,0.0002453225,0.00007711513],"genre_scores_gemma":[0.000008927924,0.000008651747,0.006180729,0.0002362065,0.0005874673,0.0003152911,0.9925563,0.00004781072,0.00005857511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06071161,"threshold_uncertainty_score":0.9996399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532867616554872,"score_gpt":0.2973114869125126,"score_spread":0.2719828107469639,"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."}}