{"id":"W2534277720","doi":"10.1353/vpr.2016.0031","title":"Serialization and the Victorian Novel in Mid-Victorian Magazines by Catherine Delafield","year":2016,"lang":"en","type":"article","venue":"Victorian periodicals review","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victorian literature; Serialization; Scholarship; Context (archaeology); History; Order (exchange); Literature; Media studies; Sociology; Art history; Art; Computer science; Law; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001509004,0.0003769119,0.0002407537,0.001116714,0.009440953,0.007629856,0.00070338,0.001739333,0.01384964],"category_scores_gemma":[0.003753323,0.0003867676,0.0001654668,0.001011989,0.007288854,0.003745027,0.003070645,0.003203587,0.002063038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01180032,"about_ca_system_score_gemma":0.005406969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06592084,"about_ca_topic_score_gemma":0.1365764,"domain_scores_codex":[0.9986651,0.0004314794,0.00003923372,0.0001518183,0.0004377153,0.0002745867],"domain_scores_gemma":[0.9985153,0.0004529212,0.0001622912,0.00007827276,0.0004189769,0.0003722213],"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":[0.00009619167,0.00004207604,0.00075955,0.0002950601,0.000008659571,0.001075466,0.08742191,0.00007830873,0.0008492768,0.1340428,0.725127,0.05020373],"study_design_scores_gemma":[0.000002098967,0.000003709385,0.0007927578,0.0001383981,9.785391e-7,0.0002032442,0.007208078,0.00001801706,0.00008939831,0.001347033,0.9901903,0.000006070122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05210923,0.1308995,0.0008630504,0.1421887,0.02131957,0.00004624506,0.0001925966,0.0001128645,0.6522682],"genre_scores_gemma":[0.4594595,0.03123256,0.0006819214,0.01393976,0.007156587,0.00005000669,0.0001659722,0.000326662,0.4869871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06592084,"threshold_uncertainty_score":0.1310742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146917905185299,"score_gpt":0.2777355628550366,"score_spread":0.2662663838031836,"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."}}