{"id":"W4401515259","doi":"10.1007/s11191-024-00551-x","title":"Is the Effect of Educational Attainments on Trust in Scientists Underestimated?","year":2024,"lang":"en","type":"article","venue":"Science & Education","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Endogeneity; Ordinary least squares; Disinformation; Instrumental variable; Econometrics; Pandemic; Misinformation; Causality (physics); Unit (ring theory); Psychology; Survey data collection; Economics; Coronavirus disease 2019 (COVID-19); Demographic economics; Statistics; Political science; Medicine; Mathematics; Social media; Mathematics education","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0235323,0.0003028146,0.0009973547,0.001845666,0.001487009,0.004055045,0.001098595,0.001961999,0.008621251],"category_scores_gemma":[0.2342257,0.0005173622,0.001127849,0.002305732,0.003872574,0.006148672,0.00331389,0.00494757,0.0007842536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245994,"about_ca_system_score_gemma":0.004205913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04621656,"about_ca_topic_score_gemma":0.03900297,"domain_scores_codex":[0.9805388,0.0103551,0.001385488,0.00160378,0.003711136,0.002405689],"domain_scores_gemma":[0.560953,0.2621857,0.1177861,0.02130392,0.02256175,0.01520956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005973032,0.0002802225,0.9485293,0.000218693,0.0009343803,0.0002463998,0.003463146,0.0004909247,0.0001484122,0.006759662,0.002645238,0.03568647],"study_design_scores_gemma":[0.00005747194,0.0002126806,0.9737822,0.0004704145,0.0007358162,0.0002418708,0.004672267,0.001016657,0.000453095,0.01485404,0.003443627,0.00005978998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039615,0.0040881,0.001644937,0.06692901,0.000453289,0.00003277011,0.001011058,0.00002470916,0.02185472],"genre_scores_gemma":[0.9963862,0.0007855419,0.0001924295,0.001685013,0.0001723018,0.000006429983,0.00008168814,0.000008995739,0.0006813051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998513,"threshold_uncertainty_score":0.1244522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058349088559573,"score_gpt":0.4124175549515434,"score_spread":0.3918340640659477,"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."}}