{"id":"W4417470430","doi":"10.1109/mts.2025.3626891","title":"Evidence, Austerity, and the Public Good","year":2025,"lang":"","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Jury Decision Making Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003181908,0.0003322872,0.0006042154,0.0002685732,0.002341745,0.000512764,0.001034406,0.001126056,0.000113182],"category_scores_gemma":[0.001694549,0.000248454,0.0001799774,0.003890005,0.01196462,0.0005244525,0.0008243343,0.001016175,0.00006000874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006748531,"about_ca_system_score_gemma":0.0004464713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454869,"about_ca_topic_score_gemma":0.0001624495,"domain_scores_codex":[0.9973012,0.0002933894,0.0005330341,0.0007732068,0.0004072046,0.0006919721],"domain_scores_gemma":[0.9970863,0.001636294,0.0002380717,0.0005827929,0.0003580773,0.00009839599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007821979,0.0000997296,0.003854318,0.0002377334,0.0002818396,0.000006925489,0.004312548,3.709897e-7,0.0001737521,0.7909757,0.04492645,0.1550525],"study_design_scores_gemma":[0.003235888,0.0001680463,0.004910925,0.0008603644,0.0004319984,0.00004399451,0.01252248,0.0004764511,0.0001483198,0.4443606,0.5322421,0.00059885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2756089,0.1083055,0.003000275,0.5726444,0.002875534,0.001465826,0.00001555613,0.0007238187,0.03536023],"genre_scores_gemma":[0.9257215,0.05421342,0.0006160078,0.002378739,0.0001117026,0.00005588399,3.519125e-7,0.00001243792,0.01688992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6501126,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481858762571696,"score_gpt":0.3306977564141749,"score_spread":0.295879168788458,"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."}}