{"id":"W25968196","doi":"10.1364/ao.54.001331","title":"Tillgänglighet – Att anpassa befintligabyggnader och närmiljön till dagens kravför att öka kvarboende","year":2012,"lang":"en","type":"article","venue":"","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Medicine","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":[0.001417664,0.0005847555,0.0003541219,0.0007742576,0.0007316766,0.002187507,0.0006988448,0.0008602369,0.01020806],"category_scores_gemma":[0.002204127,0.0003067875,0.0003531818,0.0003732081,0.0009328107,0.00197338,0.001083233,0.0009733119,0.004558175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009709663,"about_ca_system_score_gemma":0.0008631899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125706,"about_ca_topic_score_gemma":0.001552276,"domain_scores_codex":[0.9989597,0.0001599313,0.00004596053,0.0002893459,0.0004172362,0.0001278383],"domain_scores_gemma":[0.9991314,0.0002715801,0.0001423842,0.0001701594,0.0002225309,0.00006212402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007317338,0.0003083048,0.005607825,0.0009844522,0.00008034838,0.0006832882,0.001563353,0.007079679,0.4127286,0.05824103,0.01361142,0.49838],"study_design_scores_gemma":[0.00003669894,0.0006462127,0.01053686,0.0003471242,0.00008191096,0.001583355,0.0009421445,0.0145219,0.604889,0.02490257,0.3412621,0.0002500778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5517992,0.026811,0.2803986,0.007891895,0.001466376,0.0003150649,0.002640692,0.004642073,0.1240351],"genre_scores_gemma":[0.826932,0.006279864,0.1052425,0.0006396915,0.0002182801,0.0001246606,0.001161151,0.0006731778,0.05872872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020806,"threshold_uncertainty_score":0.03414941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310331561058497,"score_gpt":0.2348785318755311,"score_spread":0.2038453757696814,"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."}}