{"id":"W7135496905","doi":"","title":"Trust as a tool for intergenerational asset transfer","year":2024,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Asset (computer security); Fiduciary; Legislator; Civil code; Statute; Subject (documents); Notional amount","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":[0.002944944,0.0002306122,0.0002928413,0.001411234,0.002821662,0.008655516,0.0008115287,0.00219527,0.01162591],"category_scores_gemma":[0.005107988,0.0002290009,0.0003987943,0.001901437,0.01617955,0.008901038,0.005087579,0.002363714,0.001667707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007800573,"about_ca_system_score_gemma":0.004936912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005442123,"about_ca_topic_score_gemma":0.004380708,"domain_scores_codex":[0.9969546,0.001695046,0.0001084117,0.0002783321,0.0005558137,0.0004077775],"domain_scores_gemma":[0.9959916,0.001687509,0.0006207571,0.0005855285,0.0006286371,0.0004859473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004210279,0.000007804892,0.000275432,0.00002729847,0.000002091904,0.0000839917,0.002545215,0.000185671,0.00005571704,0.9897737,0.00115183,0.005887099],"study_design_scores_gemma":[0.00001082529,0.00005729758,0.001569945,0.0004753461,0.00002035896,0.0005663224,0.007285878,0.0016722,0.0004592389,0.7887772,0.1990761,0.00002936118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05967989,0.007850728,0.05076023,0.02460008,0.0004422817,0.0001085198,0.0001181216,0.0001113646,0.8563287],"genre_scores_gemma":[0.954934,0.002273832,0.004484649,0.0004527456,0.00009331723,0.00004286936,0.00003169573,0.00002987785,0.03765699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01162591,"threshold_uncertainty_score":0.05659741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226943070035474,"score_gpt":0.2976332550615098,"score_spread":0.285363824361155,"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."}}