{"id":"W32589225","doi":"10.1093/geront/gnaa077","title":"褥瘡と拘縮予防!ポジショニング&シーティング 臥位のポジショニングと関節の仕組み","year":2013,"lang":"en","type":"article","venue":"臨床老年看護","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Research Manitoba; Government of Manitoba","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005436328,0.0000875707,0.000159497,0.000468056,0.00188476,0.00206581,0.0004254565,0.0008185172,0.02219355],"category_scores_gemma":[0.01444025,0.0001129419,0.0002021612,0.0003273411,0.001877105,0.002035374,0.001012108,0.001390283,0.005317678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191337,"about_ca_system_score_gemma":0.004617168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575409,"about_ca_topic_score_gemma":0.04350939,"domain_scores_codex":[0.9984649,0.0005743735,0.0001165039,0.0001257817,0.0005306234,0.0001877638],"domain_scores_gemma":[0.9910042,0.00234983,0.001213716,0.0005344988,0.002987966,0.0019098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001039679,0.0004673169,0.05850436,0.0002873684,0.0000265024,0.0004001926,0.003631842,0.0003568735,0.001289866,0.06268254,0.144673,0.7275761],"study_design_scores_gemma":[0.00007258293,0.0005694359,0.1812687,0.001191012,0.00006412071,0.001503637,0.01308205,0.0009516688,0.004580366,0.06680052,0.7298039,0.0001121041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.15135,0.008165777,0.01203776,0.2794704,0.00302697,0.0002736253,0.0004850337,0.0002769372,0.5449134],"genre_scores_gemma":[0.8531001,0.007846293,0.01676042,0.02746353,0.001747174,0.0001879959,0.0003245921,0.00008819556,0.09248179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02219355,"threshold_uncertainty_score":0.0742448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916713902442393,"score_gpt":0.2638883762563078,"score_spread":0.2447212372318839,"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."}}