{"id":"W324335240","doi":"","title":"The Dickens Society: A Retrospect","year":2010,"lang":"en","type":"article","venue":"Dickens quarterly","topic":"Migration, Policy, and Dickens Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; TRACE (psycholinguistics); Reputation; Epithet; Journalism; Genealogy; Law; Sociology; Media studies; Classics; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002531227,0.0006799951,0.0002856075,0.003311137,0.006530557,0.01183709,0.0008801327,0.005218385,0.0128113],"category_scores_gemma":[0.0057354,0.0005659676,0.0002539846,0.003218558,0.006635563,0.007889342,0.003792005,0.005907361,0.004435805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006820905,"about_ca_system_score_gemma":0.006520436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519786,"about_ca_topic_score_gemma":0.04456183,"domain_scores_codex":[0.9982223,0.000390382,0.0001069007,0.0002673287,0.0005515211,0.0004615684],"domain_scores_gemma":[0.9972897,0.0005450635,0.0002216414,0.0001261974,0.0006737918,0.001143659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005033426,0.00005087709,0.001578588,0.0002254642,0.000009509712,0.0004544015,0.004685708,0.0000411524,0.0000995674,0.1003092,0.8321272,0.0603679],"study_design_scores_gemma":[0.000001374766,0.000004539893,0.0006482162,0.00009227321,8.693532e-7,0.00005950236,0.0008815026,0.000003502404,0.00001572225,0.0008915227,0.9973966,0.000004373286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0114249,0.1732199,0.0002037482,0.6409561,0.0336879,0.00002193257,0.0004606601,0.00005296439,0.1399719],"genre_scores_gemma":[0.219237,0.2190815,0.0005501825,0.2140029,0.03452307,0.0000665753,0.0004850433,0.0002348547,0.3118189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02519786,"threshold_uncertainty_score":0.05010241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008606375092984933,"score_gpt":0.2929446395503553,"score_spread":0.2843382644573704,"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."}}