{"id":"W1994183577","doi":"10.1108/hcs-06-2013-0007","title":"From Canada to Kircubbin: learning from America on housing an ageing population – part 2","year":2013,"lang":"en","type":"article","venue":"Housing Care and Support","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Austerity; Originality; Population ageing; Population; Public housing; Private sector; Economic growth; Value (mathematics); Public relations; Business; Political science; Sociology; Economics; Social science; Qualitative research","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":[0.004957047,0.0008741461,0.0008660689,0.001068591,0.03138973,0.009758514,0.002576641,0.003947789,0.0109863],"category_scores_gemma":[0.007550889,0.0004689063,0.0005397273,0.002080971,0.009371779,0.005195385,0.008073138,0.008682895,0.00152593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08363736,"about_ca_system_score_gemma":0.2596578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9580595,"about_ca_topic_score_gemma":0.9889092,"domain_scores_codex":[0.9945388,0.001349844,0.0001014402,0.0004306303,0.001544436,0.002034785],"domain_scores_gemma":[0.9875994,0.000933132,0.0002826109,0.000203091,0.004180024,0.006801786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006069036,0.0002089735,0.006626619,0.0007900361,0.00002276594,0.001419714,0.1424134,0.000205094,0.000931768,0.01217275,0.6662769,0.1688712],"study_design_scores_gemma":[0.000008888628,0.00005156577,0.008733474,0.00106853,0.00001547807,0.0003216729,0.2300915,0.00004884654,0.0002908373,0.00202354,0.7572807,0.00006497966],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06521308,0.0548161,0.001466124,0.7201228,0.01873196,0.000331916,0.0004198578,0.0001444007,0.1387539],"genre_scores_gemma":[0.402062,0.08315519,0.005228645,0.3171941,0.002275318,0.0003996122,0.0005805447,0.0003356479,0.1887689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08363736,"threshold_uncertainty_score":0.6068344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530634733196522,"score_gpt":0.2586344495523666,"score_spread":0.2433281022204014,"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."}}