{"id":"W7103246761","doi":"","title":"British Studies Interview","year":2018,"lang":"","type":"article","venue":"Aquila Digital Community (University of Southern Mississippi)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interview; Semi-structured interview; Qualitative research; Subject (documents)","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":[0.002293269,0.0002996666,0.0004753738,0.00170901,0.00879317,0.002057929,0.0005859888,0.003031567,0.07279734],"category_scores_gemma":[0.009625858,0.0005199664,0.0001410377,0.003635157,0.001177961,0.001870275,0.002170904,0.004636784,0.01716349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0107483,"about_ca_system_score_gemma":0.009317765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3604408,"about_ca_topic_score_gemma":0.5870197,"domain_scores_codex":[0.9979055,0.0006158182,0.0001173584,0.0002613605,0.0003769203,0.0007230209],"domain_scores_gemma":[0.9935588,0.001844123,0.0002157632,0.0002810513,0.002787691,0.001312613],"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":[0.00005869059,0.00002572864,0.001539549,0.0001482291,0.000001730927,0.0003262867,0.05355921,0.0000196062,0.0003962688,0.006250299,0.9251362,0.01253818],"study_design_scores_gemma":[0.000003798233,0.000006227506,0.002658189,0.00007013881,6.781613e-7,0.00003247814,0.02277632,0.0000111468,0.0000474841,0.0001960686,0.9741907,0.000006893787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09431504,0.0112827,0.001601312,0.1767872,0.009201691,0.001875553,0.03282165,0.0002521758,0.6718627],"genre_scores_gemma":[0.1561269,0.003425956,0.0006972354,0.04551177,0.0004767564,0.002918872,0.003399793,0.0001381283,0.7873046],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3604408,"threshold_uncertainty_score":0.7166856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128732547075244,"score_gpt":0.2470976014938162,"score_spread":0.1342243467862919,"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."}}