{"id":"W7064428944","doi":"","title":"Analysis of Social Acceptance for the Use of Digital Identities","year":2023,"lang":"en","type":"article","venue":"Veřejné služby Informačního systému (Masarykiana Brunensis Universitas)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Government (linguistics); Identity (music); Digital government; Digital identity; Social media; Social identity theory; Competition (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867403,0.0002099401,0.0004735251,0.000623671,0.0003456369,0.00009511788,0.0004064301,0.00006038499,0.0003237854],"category_scores_gemma":[0.00002033912,0.0001815546,0.0005178382,0.002519067,0.0001913433,0.001472187,0.0001582217,0.00009493687,0.00003853348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928577,"about_ca_system_score_gemma":0.00008990643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009704844,"about_ca_topic_score_gemma":0.00001235175,"domain_scores_codex":[0.9985353,0.00001703995,0.0005221096,0.0001837732,0.0003460409,0.0003957289],"domain_scores_gemma":[0.998638,0.0002935509,0.0004078627,0.0003226406,0.0002778231,0.00006011094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007752038,0.0001883213,0.7774895,0.0003867733,0.01686063,0.000008362325,0.02147598,0.02672404,0.001461674,0.03411585,0.07649354,0.04402017],"study_design_scores_gemma":[0.003338064,0.0001968385,0.6707807,0.00009258878,0.005072127,0.000001321775,0.03817344,0.1552243,0.008119863,0.000325599,0.1173026,0.001372603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928608,0.00003199547,0.002763589,0.0001122805,0.0002136657,0.0003724918,0.001262684,0.00006846039,0.002314032],"genre_scores_gemma":[0.9982231,0.00001719927,0.00007039264,0.00002277727,0.00006573549,0.00001048484,0.0003462302,0.00001488401,0.001229214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285003,"threshold_uncertainty_score":0.7403581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826325820398195,"score_gpt":0.2452095125394751,"score_spread":0.2069462543354932,"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."}}