{"id":"W6920964427","doi":"10.6084/m9.figshare.14946013.v2","title":"Predicting First Time Falls: Validating a Novel Algorithm in Long Term Care","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Odds; Long-term care; Falling (accident); Retrospective cohort study; Cohort; Risk assessment; Odds ratio","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002868805,0.0007163832,0.0005603707,0.001876345,0.00083994,0.001621706,0.001172682,0.0007318538,0.001523817],"category_scores_gemma":[0.01534714,0.0002286976,0.0006680491,0.001356872,0.000294716,0.0005621272,0.0008989773,0.0005667544,0.0005372687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003278608,"about_ca_system_score_gemma":0.00757405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3753833,"about_ca_topic_score_gemma":0.5634592,"domain_scores_codex":[0.9985408,0.0002875299,0.0001710312,0.0002029127,0.0006271528,0.0001705172],"domain_scores_gemma":[0.9963742,0.0007794186,0.0005179727,0.0001184846,0.001973729,0.0002362213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002909352,0.0001957229,0.9629886,0.00005122984,0.0001099193,0.00003338568,0.00007283499,0.001750239,0.0001735821,0.00009264626,0.001575968,0.03266502],"study_design_scores_gemma":[0.0001287396,0.000426434,0.9148334,0.0001527616,0.0001803536,0.0002247126,0.0003976544,0.08066355,0.0004589548,0.000347821,0.002150876,0.00003466829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838208,0.0006703871,0.007098413,0.000571621,0.00008591262,0.0005844295,0.003408388,0.000266124,0.003493856],"genre_scores_gemma":[0.9757175,0.000305369,0.01909431,0.0001246584,0.00003294323,0.0002029727,0.003662442,0.00001546792,0.0008444902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3753833,"threshold_uncertainty_score":0.7463967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781908976232043,"score_gpt":0.3466782647905959,"score_spread":0.3088591750282755,"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."}}