{"id":"W3122355267","doi":"","title":"The Epistemology of Scientific Evidence","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Epistemology; Scientific evidence; Credibility; Argument (complex analysis); Empirical evidence; Sociology of scientific knowledge; Component (thermodynamics); Marshalling; Sociology; Computer science; Philosophy; Chemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1723598,0.001622979,0.004325651,0.01777059,0.008923529,0.03344599,0.006769523,0.01923968,0.003329617],"category_scores_gemma":[0.2530347,0.001801325,0.002796205,0.007544506,0.1232327,0.03529842,0.01641681,0.02215156,0.001491707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01082143,"about_ca_system_score_gemma":0.01845279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960261,"about_ca_topic_score_gemma":0.0008621188,"domain_scores_codex":[0.7275091,0.1920509,0.02247159,0.01423138,0.04076858,0.002968331],"domain_scores_gemma":[0.6161638,0.3134528,0.01400607,0.0297206,0.02342641,0.00323043],"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":[0.000005619383,0.00000677146,0.00008831114,0.0002303344,0.00002156263,0.00005298231,0.0009876136,0.0001990722,0.0000375143,0.9937426,0.0008293631,0.003798284],"study_design_scores_gemma":[0.00001070297,0.00000747794,0.00004343946,0.0005505838,0.0000103567,0.00006011522,0.0003168304,0.0003590774,0.00007601574,0.981307,0.01724428,0.00001402892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007653779,0.05761102,0.4569133,0.2540174,0.008169023,0.0004999924,0.0003945538,0.0002560583,0.2144848],"genre_scores_gemma":[0.5848615,0.03669037,0.3098321,0.04024785,0.01425628,0.003172053,0.0004593927,0.0003163673,0.01016415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910765,"threshold_uncertainty_score":0.9115366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238268284464063,"score_gpt":0.3465987453089066,"score_spread":0.3042160624642659,"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."}}