{"id":"W2973450498","doi":"10.1353/vcr.2019.0015","title":"Seeming Human: Artificial Intelligence and Victorian Realist Character by Megan Ward","year":2019,"lang":"en","type":"article","venue":"Victorian review","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Realism; Verisimilitude; Epistemology; Aesthetics; Sociology; Situated; Posthumanism; Humanism; Reflexivity; Literature; Philosophy; Art; Computer science; Artificial intelligence; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005801828,0.000195728,0.0004263653,0.00006262796,0.000312023,0.00009888119,0.0002321809,0.00004500607,0.004682143],"category_scores_gemma":[0.00004230256,0.0001533535,0.00007066134,0.0000714881,0.0002469399,0.0003161679,0.00003704579,0.0001775128,0.0007469275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000550492,"about_ca_system_score_gemma":0.00003314047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007567665,"about_ca_topic_score_gemma":0.0001669349,"domain_scores_codex":[0.9985611,0.00004675203,0.0004347301,0.0003647811,0.0003033211,0.0002893139],"domain_scores_gemma":[0.9992442,0.00003583743,0.0001484143,0.0003140984,0.00008651215,0.0001709832],"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":[0.00001765109,0.000146899,0.0002188036,0.004836555,0.00006175013,0.00002315145,0.05905571,5.699457e-8,0.009799016,0.773018,0.08630085,0.06652155],"study_design_scores_gemma":[0.00004381339,0.00009619319,0.00001514172,0.001608924,0.0000400812,0.000003367288,0.0002945363,0.000001699101,0.00007947906,0.0004129848,0.9971995,0.0002043013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06551362,0.2186306,0.0002081917,0.03381819,0.04101645,0.005383249,0.0002586321,0.0007821925,0.6343889],"genre_scores_gemma":[0.8674647,0.03728404,0.0001089333,0.01319433,0.01257565,0.00009384026,0.0002478783,0.0001062493,0.06892434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108986,"threshold_uncertainty_score":0.9962277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020044741109594,"score_gpt":0.2713766131619141,"score_spread":0.2211761657508182,"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."}}