{"id":"W4389765681","doi":"10.1080/17538068.2023.2287809","title":"Measuring trust across different dimensions and drivers: a working model","year":2023,"lang":"en","type":"article","venue":"Journal of Communications In Healthcare","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Impact","funders":"","keywords":"Psychology; Computer science; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006333964,0.00008612346,0.0002064612,0.0002958486,0.0003400874,0.0000225427,0.0003082215,0.00007468916,0.000009902351],"category_scores_gemma":[0.0001075277,0.00007870398,0.0000651193,0.0004158099,0.0000954812,0.00007563502,0.0002467367,0.0006176928,0.00001088443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061876,"about_ca_system_score_gemma":0.00006203345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009297236,"about_ca_topic_score_gemma":0.0007278867,"domain_scores_codex":[0.9988179,0.000255913,0.0004468457,0.0001043857,0.0001398359,0.0002351015],"domain_scores_gemma":[0.9984944,0.0003923175,0.0002045705,0.0005894737,0.0002083225,0.0001109487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00019707,0.0005479564,0.7098178,0.00007027409,0.0001554729,0.00005469091,0.04522602,0.0007324797,0.0003622157,0.02115608,0.00118576,0.2204942],"study_design_scores_gemma":[0.001965205,0.0001948942,0.9346777,0.0008413937,0.0000435067,0.0001691336,0.0371119,0.009747721,0.00001585075,0.009082614,0.005911229,0.0002388457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866809,0.00290807,0.0003062234,0.008711539,0.0003604128,0.0001415727,0.00001220425,0.00002634071,0.0008527382],"genre_scores_gemma":[0.995974,0.002862155,0.0006484055,0.0002058432,0.00004585317,0.00002297189,0.000004856357,0.00001356128,0.0002223754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2248599,"threshold_uncertainty_score":0.3209455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2924818580846322,"score_gpt":0.4359148669097634,"score_spread":0.1434330088251312,"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."}}