{"id":"W2946458393","doi":"","title":"The Falls/Fractures Economic Model in Ontario Residents Aged 65 Years and Over (FEMOR).","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Gerontology; Geography; Demography; Sociology","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":[0.001559148,0.0003433162,0.0004842731,0.0007239428,0.0009929243,0.001294098,0.00102675,0.000719389,0.004550572],"category_scores_gemma":[0.005253337,0.000296338,0.000713962,0.001810575,0.0004134195,0.0007271168,0.001075916,0.0008741427,0.0002822242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01621507,"about_ca_system_score_gemma":0.0150828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9250728,"about_ca_topic_score_gemma":0.9605374,"domain_scores_codex":[0.9993181,0.0002771358,0.00003476994,0.00004737717,0.0001127078,0.0002098406],"domain_scores_gemma":[0.9985977,0.0003525484,0.0002258251,0.00004593406,0.0003131046,0.0004649668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001197975,0.0005557857,0.8534892,0.0002293091,0.0007404672,0.0004534521,0.0009836014,0.04090573,0.0000784709,0.02655644,0.05146177,0.02334798],"study_design_scores_gemma":[0.0003841275,0.0004805389,0.8187955,0.0004569176,0.0006420234,0.0002821364,0.004875126,0.1389913,0.00005373756,0.0111412,0.02379255,0.0001048807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913344,0.002935285,0.001545951,0.01800515,0.0002226851,0.0003643119,0.03505857,0.00005104939,0.02847308],"genre_scores_gemma":[0.9890751,0.0009531478,0.0006230892,0.0003144317,0.00003214022,0.00009447482,0.005100327,0.000007593875,0.003799614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07492715,"threshold_uncertainty_score":0.1507367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401979782788195,"score_gpt":0.2745018579818657,"score_spread":0.2404820601539837,"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."}}