{"id":"W7126227464","doi":"10.22616/rrd.31.2025.080","title":"Potential of the silver economy: employment of over-working-age population in Latvian regions","year":2025,"lang":"","type":"article","venue":"Research for Rural Development/Research for Rural Development (Online)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Latvijas Universitate","keywords":"Employability; Latvian; Working population; Population; Commission; Working life; Pension; Statistical analysis; Quarter (Canadian coin); Unemployment","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":[0.0004015664,0.0001406045,0.0001463364,0.001706144,0.000503315,0.0007633898,0.0002270358,0.000360478,0.001739404],"category_scores_gemma":[0.0005344513,0.0001067931,0.0002807806,0.001711951,0.0003036553,0.0004269278,0.000630805,0.0001473382,0.0003951832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737897,"about_ca_system_score_gemma":0.000551288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008324678,"about_ca_topic_score_gemma":0.01524221,"domain_scores_codex":[0.9997122,0.00006762789,0.00004401508,0.00004266019,0.00005799296,0.00007551714],"domain_scores_gemma":[0.9997035,0.00005678878,0.0001428108,0.000009098232,0.00004701696,0.00004077093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005048778,0.00002983593,0.9798325,0.0001242349,0.00002228377,0.0008120621,0.004005119,0.0001537226,0.0007678344,0.0003414298,0.0004335485,0.0134268],"study_design_scores_gemma":[0.000001005346,0.0000356998,0.9922071,0.00004327415,0.000006823348,0.0003028597,0.005801625,0.0001870011,0.00005964911,0.00006783166,0.001282305,0.000004923741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968353,0.0006827487,0.00005297464,0.0001135393,0.000006328946,0.000005683401,0.0004233245,0.000002241692,0.001877912],"genre_scores_gemma":[0.9981899,0.0004955137,0.00008073563,0.00002334282,0.00001002067,0.00001311574,0.0004168283,0.000001508481,0.0007691203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008324678,"threshold_uncertainty_score":0.01655245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3345654318709861,"score_gpt":0.4999550387719921,"score_spread":0.165389606901006,"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."}}