{"id":"W4254815433","doi":"10.1007/978-1-4614-6170-8_110144","title":"Adversarial Knowledge","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Adversarial system; Computer science; Artificial intelligence","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":[0.003643262,0.0007412953,0.0005917594,0.001376439,0.002598491,0.006594118,0.001965745,0.003330701,0.03162755],"category_scores_gemma":[0.01277013,0.0003886387,0.0005535998,0.0009297148,0.01160439,0.009015853,0.004236807,0.005300768,0.00526705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003453781,"about_ca_system_score_gemma":0.00228449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156997,"about_ca_topic_score_gemma":0.001549787,"domain_scores_codex":[0.9964285,0.001535715,0.0001282665,0.0006023545,0.00103088,0.0002741999],"domain_scores_gemma":[0.9945757,0.003149584,0.0002511236,0.001354359,0.0005025713,0.0001666493],"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":[0.00000188301,0.000003536296,0.00002238863,0.000009949978,0.000002244792,0.00001336502,0.0001095186,0.0002396018,0.00001689241,0.9938018,0.002563344,0.003215486],"study_design_scores_gemma":[0.000001674942,0.000002421552,0.00003525346,0.00005185112,0.000002137398,0.00003126929,0.0000779758,0.0006644436,0.00007662047,0.9615605,0.03749217,0.000003669955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00366076,0.002319099,0.09081867,0.01393519,0.0005260548,0.00005864272,0.0001669394,0.00008885739,0.8884258],"genre_scores_gemma":[0.6438457,0.005390076,0.024332,0.005083246,0.001681976,0.0003045329,0.0005422822,0.0001779343,0.3186423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03162755,"threshold_uncertainty_score":0.1058047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08290938162915383,"score_gpt":0.2586272639951371,"score_spread":0.1757178823659833,"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."}}