{"id":"W6996356547","doi":"","title":"Seniors in the City Centres - Community Gardens in Metropolitan City Centres","year":2012,"lang":"cs","type":"article","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Education, Psychology, and Social Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quarter (Canadian coin); Urban environment; Urban planning; Urban area","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":[0.00035372,0.0002599155,0.0002531194,0.0005344147,0.004410296,0.002113984,0.0006375405,0.0005832215,0.03381829],"category_scores_gemma":[0.0006470957,0.0003067162,0.0002376085,0.001033526,0.0008731348,0.0009290725,0.00280826,0.0006753902,0.003162882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144409,"about_ca_system_score_gemma":0.002541395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546538,"about_ca_topic_score_gemma":0.1149376,"domain_scores_codex":[0.9995986,0.00007234306,0.000016475,0.00007117585,0.00007032758,0.0001711329],"domain_scores_gemma":[0.9989575,0.00002535471,0.00008731677,0.00003194212,0.0001083917,0.000789525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006296062,0.001696102,0.4826321,0.001404142,0.00009727443,0.008109137,0.1276592,0.0003506904,0.007163625,0.009906996,0.1450068,0.2153443],"study_design_scores_gemma":[0.00005691994,0.000465893,0.4878642,0.0004194579,0.00004953324,0.002205541,0.2101904,0.0001590418,0.0007262312,0.001063958,0.2967349,0.00006382365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940811,0.001287091,0.000481305,0.001773334,0.0002561358,0.0001222691,0.0008637669,0.0001104302,0.05429458],"genre_scores_gemma":[0.9444699,0.0007066095,0.0006862519,0.0005228778,0.00006500048,0.00003780732,0.0003255794,0.00003388515,0.05315205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03381829,"threshold_uncertainty_score":0.1131335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430394492922787,"score_gpt":0.2733140083912374,"score_spread":0.2490100634620095,"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."}}