{"id":"W4313418589","doi":"10.1080/03080188.2022.2152243","title":"Public trust in science","year":2022,"lang":"en","type":"article","venue":"Interdisciplinary Science Reviews","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Science communication; Public trust; Scholarship; Public relations; Variety (cybernetics); Relation (database); Converse; Political science; Public awareness of science; Public engagement; Sociology; Science education; Epistemology; Computer science; Law","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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01914147,0.0001150423,0.0002238071,0.001054033,0.00519212,0.0004948471,0.002462639,0.00001826401,0.002032069],"category_scores_gemma":[0.001516066,0.0001006158,0.00007656268,0.008229419,0.003064555,0.002972349,0.00208724,0.0002878684,0.0002660889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268152,"about_ca_system_score_gemma":0.002397155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007678466,"about_ca_topic_score_gemma":0.0002633502,"domain_scores_codex":[0.9965816,0.0002563299,0.0005241692,0.0004040682,0.001364814,0.0008689899],"domain_scores_gemma":[0.9987856,0.00004458891,0.0002082062,0.0004317137,0.0001209557,0.0004089459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001387336,0.0002695588,0.002606281,0.00003116523,0.000001401278,0.00001468393,0.2887085,0.00005968105,0.001904038,0.1262858,0.007135777,0.5729693],"study_design_scores_gemma":[0.0002581254,0.0001560802,0.01007894,0.00007329956,0.000002769302,0.00002685748,0.08128006,0.001105073,0.00009575847,0.005149191,0.9013782,0.0003956528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3069053,0.001226877,0.0001935261,0.01294173,0.001767971,0.001097298,0.00000554287,0.00009147998,0.6757703],"genre_scores_gemma":[0.9965131,0.0003551448,0.0004532038,0.0006789507,0.00006283488,0.0000375135,0.000001187108,0.00000447669,0.001893637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8942424,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249056517876147,"score_gpt":0.4199800537534192,"score_spread":0.2950744019658045,"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."}}