{"id":"W2972764277","doi":"10.1353/mos.2019.0016","title":"The \"Nineteenth Century Up-to-Date with a Vengeance\": From Dracula's \"Horrid Cargo\" to \"Ghastly\" Millennial Freightage","year":2019,"lang":"en","type":"article","venue":"Mosaic","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dracula; Apportionment; History; Colonialism; Immigration; Literature; Political science; Art; Archaeology; Law; Art history","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761308,0.0003808133,0.0001839118,0.001833245,0.007884681,0.006986449,0.0003628505,0.000943907,0.005337729],"category_scores_gemma":[0.001667224,0.0001619264,0.0001080669,0.001353298,0.02206858,0.004457061,0.002735338,0.002472442,0.0005241785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004815768,"about_ca_system_score_gemma":0.001634207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570822,"about_ca_topic_score_gemma":0.0392509,"domain_scores_codex":[0.9995733,0.0001878403,0.000008489558,0.00006948713,0.00007037981,0.00009054312],"domain_scores_gemma":[0.9995857,0.0002040407,0.00004307248,0.00005350247,0.00005761559,0.00005605814],"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":[0.00002943125,0.0000102593,0.0005172508,0.00006418635,0.000004813453,0.0003174043,0.2460198,0.00004821496,0.0002466982,0.7310068,0.007640309,0.01409481],"study_design_scores_gemma":[0.000008700855,0.00002206761,0.00203907,0.0003839797,0.00001567309,0.0004545874,0.1499897,0.00008807226,0.0005734861,0.0574907,0.7889171,0.000016755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1630121,0.008020978,0.002455428,0.008958778,0.0005964817,0.00001776511,0.00007245756,0.00007121974,0.8167948],"genre_scores_gemma":[0.9489969,0.002795781,0.0004956839,0.00105048,0.000172072,0.00001278788,0.00003286665,0.00009927622,0.04634416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570822,"threshold_uncertainty_score":0.03494102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00618909650430657,"score_gpt":0.2427440103501157,"score_spread":0.2365549138458091,"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."}}