{"id":"W4401276261","doi":"10.1177/13563890241265859","title":"Post-truth and pathways for evaluators","year":2024,"lang":"en","type":"article","venue":"Evaluation","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Disinformation; Transformative learning; Skepticism; Post truth; Politics; Phenomenon; Narrative; Fake news; Sociology; Premise; Political science; Public relations; Epistemology; Social media; Law; Media studies","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":[0.001293021,0.00005444,0.00007406735,0.0001336657,0.00007002419,0.00005171041,0.00001279458,0.00004402408,0.0003378158],"category_scores_gemma":[0.0004410002,0.00004206831,0.00004564545,0.0001305541,0.00002199458,0.00008850563,0.00001173331,0.000071514,0.00006716524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008440689,"about_ca_system_score_gemma":0.0002252968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497577,"about_ca_topic_score_gemma":0.000004314631,"domain_scores_codex":[0.9992577,0.00004231968,0.00009980902,0.000167497,0.000324202,0.0001084775],"domain_scores_gemma":[0.9994321,0.0001102061,0.000009107429,0.00007957646,0.0003106681,0.00005830261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000117164,0.00005730118,0.0006183671,0.0003189198,0.00008592573,0.00000388722,0.0005471959,0.00001666019,0.0633704,0.009785876,0.002884606,0.9221937],"study_design_scores_gemma":[0.002909458,0.002383613,0.0597389,0.0002941301,0.0007042843,0.0001323314,0.0004950017,0.8774742,0.01706712,0.0165847,0.02197773,0.0002385128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882017,0.002002641,0.001644782,0.001797586,0.0004250094,0.00112379,0.00002264626,0.00008774912,0.00469409],"genre_scores_gemma":[0.998458,0.00003513486,0.0003149984,0.0000900956,0.0002469165,0.0001634519,0.00007909918,0.0000128173,0.0005995122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9219552,"threshold_uncertainty_score":0.3698846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0724581220496297,"score_gpt":0.4204130039843808,"score_spread":0.3479548819347511,"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."}}