{"id":"W7066047688","doi":"","title":"Feature Story: Falls Prevention Research Helps Strengthen Aging Saskatchewan Population","year":2011,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Population; Kinesiology; Population ageing; Population health; Occupational safety and health; Community health; Feature (linguistics)","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":[0.00234884,0.000711353,0.0004559887,0.0008970864,0.003621234,0.005289805,0.001902772,0.006198287,0.1901777],"category_scores_gemma":[0.007561838,0.0004340217,0.0005945678,0.001260108,0.001030943,0.002280778,0.001977824,0.006872388,0.05626786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623668,"about_ca_system_score_gemma":0.01859771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1653955,"about_ca_topic_score_gemma":0.4790573,"domain_scores_codex":[0.9988245,0.0001752084,0.00005980474,0.00009144179,0.0005626647,0.0002862702],"domain_scores_gemma":[0.9903922,0.001430302,0.000190266,0.0004646462,0.004677135,0.002845412],"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":[0.000006033255,0.00001256732,0.0001505427,0.00001284256,7.860977e-7,0.00002153029,0.00001820777,0.000005954254,0.00002214368,0.000142644,0.9943607,0.005245997],"study_design_scores_gemma":[0.00004541888,0.00002652542,0.002936225,0.000187231,0.000008590052,0.0001037376,0.0009043601,0.00005997867,0.0002092236,0.000530521,0.9949657,0.00002248647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003024395,0.001922746,0.0005200811,0.7300835,0.05211516,0.0002749658,0.007347479,0.0009884723,0.2037233],"genre_scores_gemma":[0.007331927,0.003656777,0.0007983202,0.167698,0.005381723,0.0001917001,0.002144292,0.0004140669,0.8123832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8346045,"threshold_uncertainty_score":0.6362077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04028464922532845,"score_gpt":0.2723521323495943,"score_spread":0.2320674831242658,"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."}}