{"id":"W2731861428","doi":"10.1093/geroni/igx004.3946","title":"USING WORLD CAFéS TO DEVELOP GUIDELINES FOR INTERINSTITUTIONAL RELOCATIONS IN LONG-TERM CARE","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Accommodation; Presentation (obstetrics); Long-term care; Business; Process (computing); Knowledge sharing; Term (time); Knowledge creation; Public relations; Nursing; Psychology; Medicine; Political science; Knowledge management; Marketing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04326103,0.0009974079,0.0005085146,0.004192372,0.006746057,0.005075554,0.003049607,0.002226885,0.003466437],"category_scores_gemma":[0.09452156,0.0006364493,0.0007034809,0.001986232,0.003700793,0.005586676,0.006433849,0.003049683,0.00104746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00664587,"about_ca_system_score_gemma":0.01997202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790279,"about_ca_topic_score_gemma":0.05955908,"domain_scores_codex":[0.9671955,0.02496402,0.002511892,0.001192439,0.002645972,0.001490201],"domain_scores_gemma":[0.941129,0.03058644,0.005263103,0.005160414,0.01417965,0.003681414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001125423,0.001292174,0.01812079,0.001595286,0.00004759514,0.002633861,0.4590833,0.002171267,0.007271123,0.01830514,0.05362927,0.4357376],"study_design_scores_gemma":[0.00009244823,0.0006097805,0.01847637,0.003117806,0.00006577824,0.0008321571,0.4762561,0.003203823,0.006750734,0.01259435,0.477606,0.0003947451],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4941514,0.00215534,0.3081418,0.03961945,0.00151764,0.02371027,0.001120335,0.002910164,0.1266737],"genre_scores_gemma":[0.454402,0.001292294,0.5244159,0.001656036,0.0001211868,0.006170556,0.0005090358,0.0002947031,0.01113831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04326103,"threshold_uncertainty_score":0.228789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2012859823830824,"score_gpt":0.4699253267081026,"score_spread":0.2686393443250201,"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."}}