{"id":"W4311624454","doi":"10.3390/smartcities5040088","title":"Exploring the Market Requirements for Smart and Traditional Ageing Housing Units: A Mixed Methods Approach","year":2022,"lang":"en","type":"article","venue":"Smart Cities","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Population ageing; Focus group; Face (sociological concept); Business; Ageing society; Population; Ageing; Gerontology; Active ageing; Psychology; Older people; Medicine; Sociology; Marketing; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03375205,0.001035479,0.001451159,0.006463257,0.004623194,0.005235061,0.0027157,0.0018128,0.004268145],"category_scores_gemma":[0.02529324,0.001181986,0.001416987,0.005522182,0.002305974,0.003518391,0.004276866,0.001622426,0.0003967958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005969444,"about_ca_system_score_gemma":0.007336003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042946,"about_ca_topic_score_gemma":0.02880309,"domain_scores_codex":[0.9819829,0.01319177,0.001343334,0.00106152,0.001462561,0.0009578763],"domain_scores_gemma":[0.9760668,0.01766968,0.002220537,0.001021731,0.00254572,0.0004754731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006477523,0.004183725,0.05356365,0.006018827,0.0004735659,0.001530198,0.7858353,0.001045771,0.003856548,0.01023851,0.001702875,0.1309032],"study_design_scores_gemma":[0.0003319388,0.00275437,0.05013018,0.001697355,0.0003235553,0.0003238925,0.9150318,0.003598896,0.002165636,0.005990526,0.01749947,0.0001523531],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444683,0.001408335,0.02205974,0.0006458055,0.00007298869,0.02433359,0.0007815767,0.00003062198,0.00619908],"genre_scores_gemma":[0.8052468,0.002322528,0.1092548,0.001299986,0.00006815515,0.07644608,0.0007699874,0.00004677289,0.004544912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03375205,"threshold_uncertainty_score":0.1785001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2546847579705879,"score_gpt":0.3380013157331764,"score_spread":0.08331655776258845,"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."}}