{"id":"W6987988162","doi":"","title":"Vliv demografického stárnutí na penzijní systémy vybraných vyspělých zemí (Japonsko, Kanada, Německo)","year":2015,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Student Stress and Coping","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Bachelor; Population ageing; Work (physics); Section (typography)","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":[0.000463506,0.0002328073,0.000238572,0.001245394,0.001442187,0.00223084,0.0002291435,0.0003455827,0.008357058],"category_scores_gemma":[0.0005766546,0.0001302369,0.0001356309,0.002336728,0.001290404,0.00151834,0.00105968,0.0007945358,0.0006293167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131275,"about_ca_system_score_gemma":0.001948902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633774,"about_ca_topic_score_gemma":0.01320044,"domain_scores_codex":[0.9998649,0.00003715811,0.000009985016,0.00003495745,0.00002504835,0.00002786248],"domain_scores_gemma":[0.9998494,0.00004123639,0.0000273244,0.000009376528,0.00002906577,0.00004359383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001503845,0.0002093325,0.05289437,0.004265272,0.00006286163,0.001323262,0.1800684,0.000433355,0.005237436,0.1814257,0.07998061,0.4939491],"study_design_scores_gemma":[0.00001217416,0.0001396155,0.3318844,0.002311761,0.00005029896,0.0009575259,0.08064706,0.0002964041,0.0009426521,0.01883614,0.5638776,0.00004446164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5913278,0.1504526,0.004583956,0.02329885,0.002281679,0.0002232325,0.00185382,0.00009732178,0.2258807],"genre_scores_gemma":[0.886744,0.05683999,0.002960267,0.0006819438,0.0003642413,0.0001134849,0.0005684892,0.00004054694,0.0516871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9923663,"threshold_uncertainty_score":0.02795708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429918891460984,"score_gpt":0.3027242700226043,"score_spread":0.2884250811079944,"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."}}