{"id":"W6923720814","doi":"10.15017/1543919","title":"地域在住高齢者における三軸加速度センサー内蔵活動量計による身体活動と座位行動の実態および生活機能との関連性","year":2015,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Meiji Yasuda Life Foundation of Health and Welfare; China Scholarship Council","keywords":"Sedentary behavior; Activities of daily living; Physical activity; Sitting; sed; Sedentary lifestyle; Population; Cognition; Older people","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":[0.001330597,0.0001908698,0.0002289872,0.000651711,0.0004282419,0.001200497,0.0002408375,0.0004612795,0.004644718],"category_scores_gemma":[0.001367473,0.000237684,0.000334607,0.0004374418,0.0004897469,0.0004815731,0.000473048,0.0003777467,0.001918852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005255943,"about_ca_system_score_gemma":0.0008846973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003664983,"about_ca_topic_score_gemma":0.00782596,"domain_scores_codex":[0.9995199,0.00007552055,0.00006616484,0.0001337179,0.0001484855,0.00005622218],"domain_scores_gemma":[0.9992259,0.0001171761,0.0002290926,0.00005789514,0.0002702364,0.00009971979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004745446,0.0004468879,0.5384849,0.000769941,0.0002495996,0.0005349354,0.003678106,0.0006461291,0.03223549,0.004691985,0.008911095,0.4088763],"study_design_scores_gemma":[0.00003428183,0.000833016,0.9510472,0.0002384674,0.00009954785,0.001085805,0.002485481,0.0007085564,0.00864904,0.001718264,0.03306041,0.00003994627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466702,0.00799257,0.006467123,0.002553735,0.0002067463,0.000212856,0.001222282,0.00005815647,0.03461632],"genre_scores_gemma":[0.9500805,0.009463907,0.008664168,0.0005317134,0.0002235826,0.0001683641,0.0009411816,0.00001348179,0.02991319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004644718,"threshold_uncertainty_score":0.01553816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05138166621941379,"score_gpt":0.3662377322940766,"score_spread":0.3148560660746628,"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."}}