{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01591971,0.001679455,0.00124806,0.004071758,0.001938262,0.007373657,0.002236862,0.002151614,0.003703209],"category_scores_gemma":[0.04130202,0.001292704,0.002809623,0.003652591,0.003145071,0.008871792,0.005535031,0.00250702,0.0007108638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00424574,"about_ca_system_score_gemma":0.004164735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00652542,"about_ca_topic_score_gemma":0.00511953,"domain_scores_codex":[0.9878207,0.006535577,0.0008851807,0.002087198,0.00214158,0.0005298553],"domain_scores_gemma":[0.9558639,0.02840146,0.00563487,0.003110776,0.00590336,0.001085575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004427326,0.0006678907,0.7023427,0.0007870352,0.003118131,0.0002102464,0.01745298,0.006984432,0.0007572489,0.1390717,0.002985881,0.125179],"study_design_scores_gemma":[0.0002354454,0.002006341,0.3710266,0.003012721,0.003816612,0.001573419,0.02539527,0.1449865,0.001992411,0.4328898,0.01257813,0.0004867568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6393694,0.003137705,0.2978382,0.01138298,0.0003166667,0.001938814,0.00173283,0.000320044,0.04396331],"genre_scores_gemma":[0.9553935,0.0005561088,0.04199484,0.0002244957,0.00004655398,0.000658316,0.0003144821,0.00002578678,0.000785809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01591971,"threshold_uncertainty_score":0.08419245,"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."}}