{"id":"W2012434536","doi":"10.1353/vpr.2013.0022","title":"\"Contributing to Most Things\": Richard Marsh, Literary Production, and the Fin de Siècle Periodicals Market","year":2013,"lang":"en","type":"article","venue":"Victorian periodicals review","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Fin de siecle; Abstraction; Focus (optics); Production (economics); Marsh; Sociology; Literature; History; Art; Epistemology; Philosophy; Linguistics; Economics","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002179801,0.0003253539,0.0006590072,0.00006486085,0.001634481,0.003321559,0.0004385424,0.00007004225,0.01547332],"category_scores_gemma":[0.002491804,0.0002067729,0.0001830013,0.0001295245,0.000735124,0.001067749,0.000275174,0.0003770054,0.0005190978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006154369,"about_ca_system_score_gemma":0.0001019107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001216243,"about_ca_topic_score_gemma":0.0000509227,"domain_scores_codex":[0.9973185,0.0003857535,0.0007193441,0.0004619377,0.0004023579,0.0007121256],"domain_scores_gemma":[0.9984162,0.0002570421,0.0001740006,0.0004931419,0.0003151763,0.0003443962],"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":[0.00009790525,0.0001607138,0.0006157242,0.003176519,0.000165322,0.00002110077,0.06384771,1.827597e-7,0.00003063731,0.20647,0.6638266,0.06158755],"study_design_scores_gemma":[0.0002758115,0.00005488355,0.0005029595,0.002172061,0.00005703577,0.00002433732,0.0005197129,0.00001009642,0.000005124897,0.003469639,0.9926083,0.0003000049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1152061,0.3286541,0.00003396034,0.2389524,0.004878002,0.008526888,0.0003087389,0.0007051243,0.3027347],"genre_scores_gemma":[0.8050064,0.02541944,0.0003109105,0.09055196,0.008104032,0.001552764,0.00006782541,0.0001426233,0.06884401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6898003,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590697531403526,"score_gpt":0.2288618041476967,"score_spread":0.2129548288336615,"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."}}