{"id":"W6892470625","doi":"10.5281/zenodo.10663565","title":"Understanding mistrust and distrust in public data infrastructures","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distrust; Politics; Embeddedness; Government (linguistics); Public trust; Data breach; Scope (computer science); Realm; Vulnerability (computing)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009899208,0.0003921489,0.0004408665,0.002218798,0.005975878,0.01615348,0.001187374,0.0033801,0.003668826],"category_scores_gemma":[0.03147495,0.0006366701,0.0006828334,0.002383074,0.01843133,0.02346162,0.008519117,0.006450467,0.0004639089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008463016,"about_ca_system_score_gemma":0.004059222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007421193,"about_ca_topic_score_gemma":0.005388852,"domain_scores_codex":[0.9905853,0.005219347,0.0003302312,0.0007535165,0.00189938,0.001212163],"domain_scores_gemma":[0.9553275,0.03198121,0.006366511,0.001994025,0.002654713,0.001676056],"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":[0.00004435912,0.00009001061,0.02596675,0.0003767874,0.00003377678,0.0006167544,0.407968,0.0007911395,0.0004276511,0.5197967,0.006869794,0.03701833],"study_design_scores_gemma":[0.00001450517,0.00007410917,0.03205092,0.002067061,0.0000631636,0.001288998,0.4185927,0.004991609,0.0009566246,0.3928296,0.1469188,0.0001517724],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5872841,0.01801705,0.06964442,0.1740702,0.001248445,0.000182328,0.0001742468,0.00017761,0.1492016],"genre_scores_gemma":[0.9868296,0.004239569,0.002179185,0.003526184,0.0002402554,0.00006836884,0.00004848733,0.00005020294,0.002818306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9838465,"threshold_uncertainty_score":0.06140375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2139362112647732,"score_gpt":0.2463740374751961,"score_spread":0.0324378262104229,"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."}}