{"id":"W4292546839","doi":"10.1111/risa.14008","title":"Confidence deficits and reducibility: Toward a coherent conceptualization of uncertainty level","year":2022,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Conceptualization; Epistemology; Frequentist inference; Dimension (graph theory); Perspective (graphical); Field (mathematics); Uncertainty quantification; Uncertainty analysis; Frequentist probability; Bayesian probability; Conversation; Psychology; Sociology; Bayesian inference; Computer science; Mathematics; Artificial intelligence; Philosophy","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":[0.02494305,0.001252248,0.001108652,0.007998388,0.002606931,0.01441248,0.003201006,0.004004901,0.001987454],"category_scores_gemma":[0.04940186,0.0006723708,0.001073249,0.00361889,0.04220397,0.0260855,0.01193622,0.00872825,0.0002074499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00547149,"about_ca_system_score_gemma":0.004334205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223684,"about_ca_topic_score_gemma":0.001514103,"domain_scores_codex":[0.9806691,0.01026119,0.001158416,0.001561602,0.005311428,0.00103821],"domain_scores_gemma":[0.9599385,0.02917682,0.004384478,0.002129256,0.003132633,0.001238263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001593208,0.00001227452,0.0007159404,0.00006411796,0.00001930657,0.00006053969,0.006039443,0.00208448,0.0001133375,0.9831644,0.0002555217,0.007454563],"study_design_scores_gemma":[0.000005685718,0.00001488617,0.000288764,0.0001008999,0.00001178154,0.00004453446,0.001918663,0.002562992,0.00009394378,0.9921837,0.002755608,0.00001843864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010251,0.006829829,0.7239686,0.05311909,0.0004170253,0.0001923467,0.0001811341,0.0001760453,0.1140909],"genre_scores_gemma":[0.9662357,0.00142395,0.03040836,0.0009220073,0.0001977841,0.0001389555,0.00004703221,0.00003263221,0.0005935441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02494305,"threshold_uncertainty_score":0.1319131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07260966288673176,"score_gpt":0.339742848012279,"score_spread":0.2671331851255472,"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."}}