{"id":"W3165928694","doi":"10.1016/j.inffus.2021.05.007","title":"Data Fusion for Trust Evaluation","year":2021,"lang":"en","type":"article","venue":"Information Fusion","topic":"Access Control and Trust","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Higher Education Discipline Innovation Project; Academy of Finland; National Natural Science Foundation of China","keywords":"Computer science; Sensor fusion; Fusion; Point (geometry); Data science; Data mining; Artificial intelligence","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":[0.01947494,0.001262824,0.002567698,0.003965599,0.001466611,0.006329926,0.001560452,0.002244035,0.003616944],"category_scores_gemma":[0.05683142,0.0006552191,0.001838433,0.003715252,0.001958764,0.007265436,0.004563962,0.002834625,0.0011543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003536019,"about_ca_system_score_gemma":0.003328065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005742349,"about_ca_topic_score_gemma":0.003051931,"domain_scores_codex":[0.9778901,0.01058242,0.001746162,0.002239317,0.006511841,0.001030229],"domain_scores_gemma":[0.9689368,0.01512634,0.002583115,0.005667723,0.006916824,0.0007692457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001084984,0.0004201932,0.007351231,0.0007029702,0.0009765789,0.0003150883,0.001083153,0.1520243,0.005617369,0.3282215,0.0124183,0.4897843],"study_design_scores_gemma":[0.00003347813,0.000163172,0.001643586,0.0001281716,0.0001348934,0.0001347935,0.0002305378,0.7910596,0.004843791,0.1961026,0.005457688,0.00006782648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01111516,0.001153012,0.9824945,0.0009391672,0.0001318335,0.0001742815,0.0002785405,0.0004471636,0.003266318],"genre_scores_gemma":[0.6913047,0.0006868422,0.3042701,0.0002330586,0.0001819824,0.0002879708,0.0008797236,0.00008100859,0.002074536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01947494,"threshold_uncertainty_score":0.1029946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09213497536998423,"score_gpt":0.3847578074466541,"score_spread":0.2926228320766698,"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."}}