{"id":"W2033566717","doi":"10.1109/nomsw.2010.5486583","title":"Introduction to MAGNATE: Gathering and analysis of trust evidence","year":2010,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Set (abstract data type); Computer science; Work (physics); Middleware (distributed applications); Data science; Internet privacy; Computer security; Database; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02649037,0.001737835,0.002186757,0.007251053,0.002671778,0.01258196,0.002938361,0.003096698,0.02739968],"category_scores_gemma":[0.1275017,0.001810082,0.00357565,0.006931873,0.005253329,0.01000822,0.007563574,0.005408085,0.007543546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003357153,"about_ca_system_score_gemma":0.005896748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032813,"about_ca_topic_score_gemma":0.003497384,"domain_scores_codex":[0.9637704,0.02477434,0.002988524,0.00217782,0.00573966,0.000549123],"domain_scores_gemma":[0.9113013,0.06270957,0.004190404,0.01123341,0.009108189,0.001457181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002300697,0.00008010261,0.002632541,0.003319679,0.0004170981,0.0004367463,0.006266119,0.006893946,0.001646186,0.591751,0.07632222,0.3100042],"study_design_scores_gemma":[0.00007814614,0.0001087637,0.002220759,0.001998152,0.0001958878,0.001007451,0.001722094,0.03427292,0.003290209,0.6016375,0.3532635,0.0002046325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002063328,0.001835631,0.9650326,0.009002713,0.0003961375,0.001470231,0.002472812,0.002451053,0.01527552],"genre_scores_gemma":[0.02935557,0.001794307,0.9579743,0.0008749818,0.0004739053,0.001659999,0.001609438,0.0006947962,0.005562807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02739968,"threshold_uncertainty_score":0.1400962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166066486467813,"score_gpt":0.3127215115367352,"score_spread":0.2961148628899539,"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."}}