{"id":"W1924137967","doi":"10.1111/nous.12017","title":"Knowledge, Stakes, and Mistakes","year":2013,"lang":"en","type":"article","venue":"Noûs","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Citation; Computer science; Library science","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":[0.01766223,0.0003390719,0.0005388947,0.002113098,0.001447117,0.00711914,0.0007051838,0.002199095,0.004372519],"category_scores_gemma":[0.1369192,0.0004671557,0.0003383479,0.00120543,0.02086154,0.01260313,0.005086691,0.003378381,0.0005014385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075536,"about_ca_system_score_gemma":0.001015698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326085,"about_ca_topic_score_gemma":0.0009352927,"domain_scores_codex":[0.9802366,0.01081453,0.001047051,0.001666476,0.005004123,0.001231248],"domain_scores_gemma":[0.8405933,0.1110364,0.02571665,0.01139271,0.006881431,0.004379676],"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":[0.0005135406,0.0003016335,0.2437863,0.0002931598,0.0003742455,0.0009395049,0.03994122,0.005358907,0.001132035,0.6475183,0.002551958,0.05728916],"study_design_scores_gemma":[0.00004761108,0.0001344381,0.07935141,0.0003259333,0.00007550266,0.0006114325,0.01285371,0.003138806,0.001170566,0.8947825,0.007414017,0.00009406563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8037156,0.003241561,0.03265385,0.02653212,0.0001634736,0.0000762916,0.0002402322,0.00007341035,0.1333035],"genre_scores_gemma":[0.9985518,0.0001960184,0.0004815594,0.0002185284,0.00002782196,0.000007831994,0.00001188313,0.00000899686,0.0004955565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01766223,"threshold_uncertainty_score":0.09340793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0880633502216077,"score_gpt":0.2644884887106997,"score_spread":0.176425138489092,"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."}}