{"id":"W7006476989","doi":"","title":"Un hogar para cada historia: centro de día y residencia para personas mayores","year":2024,"lang":"ca","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Work (physics); European union; Nova (rocket)","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":[0.001116612,0.0001875324,0.000170576,0.0008299822,0.006541171,0.003022579,0.0005537484,0.0006068503,0.01382818],"category_scores_gemma":[0.001688152,0.0002251584,0.0001155413,0.00158297,0.001769498,0.001795059,0.003298361,0.001073243,0.001201541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004904815,"about_ca_system_score_gemma":0.0113145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1936617,"about_ca_topic_score_gemma":0.5295774,"domain_scores_codex":[0.9994412,0.0002659197,0.00001301926,0.00006089171,0.00004696049,0.0001720063],"domain_scores_gemma":[0.9986753,0.0002082937,0.0001156232,0.00004792916,0.0001676313,0.000785193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001118133,0.0001356609,0.2658601,0.0004387479,0.0000136208,0.0006523356,0.4193496,0.0001195301,0.000491086,0.01790326,0.1191261,0.1757982],"study_design_scores_gemma":[0.000008290659,0.0000739195,0.2511384,0.0006052639,0.00001601344,0.0002931499,0.4641196,0.0000514591,0.0001231525,0.0007863413,0.28277,0.00001428748],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7307206,0.01798849,0.0006378118,0.07866067,0.0006888626,0.0001133865,0.001443469,0.0000631076,0.1696836],"genre_scores_gemma":[0.8970527,0.01390233,0.0007931919,0.00331251,0.000125003,0.00009635191,0.0003113147,0.00002541719,0.08438115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1936617,"threshold_uncertainty_score":0.3850689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581235010377601,"score_gpt":0.2721658721070063,"score_spread":0.2563535220032303,"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."}}