{"id":"W7015272281","doi":"","title":"Sociální zabezpečení v České republice a Francii","year":2010,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"European Law and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Social security; Quarter (Canadian coin); Population; Social insurance","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":[0.0008907808,0.0003898732,0.000424584,0.001619798,0.002738236,0.004633207,0.0002777901,0.0007167271,0.008058217],"category_scores_gemma":[0.001632148,0.0001466435,0.0003413513,0.002542718,0.00219183,0.001211984,0.001635959,0.001595668,0.001081435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00603994,"about_ca_system_score_gemma":0.006905444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07651699,"about_ca_topic_score_gemma":0.07014005,"domain_scores_codex":[0.9991935,0.0001896342,0.00004574177,0.0001361415,0.0001922653,0.0002427265],"domain_scores_gemma":[0.9996253,0.0001081657,0.00007510338,0.00004308372,0.0000861513,0.00006220609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000200299,0.0001464904,0.0166306,0.001570691,0.00008062707,0.001273158,0.04324019,0.002224382,0.004349156,0.5935523,0.06232046,0.2744116],"study_design_scores_gemma":[0.00002551667,0.00005979825,0.06173565,0.0009448527,0.00002071978,0.0006571836,0.007905819,0.0003384195,0.000755212,0.009532138,0.917978,0.00004668921],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2543742,0.06986681,0.003238533,0.01188863,0.0008193919,0.0001430687,0.001701364,0.0002078396,0.6577601],"genre_scores_gemma":[0.922695,0.01772167,0.001595682,0.0005232251,0.0001439282,0.00008278385,0.0005739292,0.0000819187,0.0565818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07651699,"threshold_uncertainty_score":0.1521432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007470355093257722,"score_gpt":0.2648267903562619,"score_spread":0.2573564352630042,"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."}}