{"id":"W2062438585","doi":"10.1080/01576895.2014.958864","title":"Remediation as reading: digitising<i>The Western Home Monthly</i>","year":2014,"lang":"en","type":"article","venue":"Archives and Manuscripts","topic":"Literature, Film, and Journalism Analysis","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Middlebrow; Reading (process); Perspective (graphical); Media studies; Process (computing); History; Face (sociological concept); Field (mathematics); Sociology; Political science; Computer science; Visual arts; Social science; Art; Art history; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001319903,0.0001384257,0.0001729102,0.00009261521,0.0005173259,0.0007170097,0.0001468961,0.00002225938,0.00006026379],"category_scores_gemma":[0.00002479244,0.00008912439,0.00008811647,0.00002499618,0.0002084511,0.0003302007,0.00005212746,0.0001436275,0.00003103466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003286538,"about_ca_system_score_gemma":0.000007094716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001971937,"about_ca_topic_score_gemma":0.0002575227,"domain_scores_codex":[0.9991491,0.00008027616,0.0002044278,0.0001979338,0.0001524898,0.0002157517],"domain_scores_gemma":[0.9994595,0.0001153376,0.00009640827,0.0002113434,0.00002268121,0.00009471882],"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":[0.00007393671,0.0000761374,0.003586229,0.00008259968,0.0001700336,0.00002293149,0.1410907,0.00000629502,0.0002882274,0.757104,0.03874362,0.05875526],"study_design_scores_gemma":[0.0002714228,0.00008282019,0.005594284,0.00004923636,0.00006937717,0.00001158661,0.0008344295,0.0002041457,0.00003666726,0.05443652,0.9382426,0.000166939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4765011,0.001761641,0.0003228178,0.008595271,0.001756987,0.0002529053,0.00007084037,0.000145282,0.5105931],"genre_scores_gemma":[0.9606493,0.0002179294,0.00003759339,0.003124873,0.00140113,0.000006750521,0.00005461324,0.00001600261,0.03449181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8994989,"threshold_uncertainty_score":0.6914141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370334702365291,"score_gpt":0.19779969194522,"score_spread":0.184096344921567,"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."}}