{"id":"W7124671548","doi":"","title":"The Sylvia Townsend Warner and Valentine Ackland Archive at the Dorset History Centre: Current and Future Plans","year":2024,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Townsend; Archivist; Work (physics); Performance art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003626847,0.0001341926,0.0001448319,0.00008030072,0.001793741,0.0001820592,0.000305468,0.00003606967,0.0001571578],"category_scores_gemma":[0.00002133328,0.00008722267,0.0001072735,0.0002205047,0.000685606,0.0005995473,0.0004029756,0.0002147793,0.00001678257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816628,"about_ca_system_score_gemma":0.000138293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000485535,"about_ca_topic_score_gemma":0.01780476,"domain_scores_codex":[0.9987342,0.0002459178,0.0000904262,0.0003389334,0.0002910207,0.0002995273],"domain_scores_gemma":[0.999137,0.0004633798,0.00005134315,0.0002147152,0.00001614744,0.0001173592],"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":[0.0001763316,0.00006797534,0.01084495,0.0000937219,0.0003418442,0.0002374171,0.04404814,0.000005662322,0.00008567553,0.2285392,0.6847428,0.03081623],"study_design_scores_gemma":[0.0001895041,0.000009211768,0.009991299,0.00003574285,0.0001264142,0.00000434707,0.01200008,0.000226599,0.000001124671,0.0004381024,0.9768429,0.0001346042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443425,0.0174108,0.0001044218,0.01688076,0.001628269,0.0003998692,0.004751736,0.00007268655,0.01440897],"genre_scores_gemma":[0.8203422,0.03563168,0.00002386312,0.0001598266,0.0009122853,0.000001405715,0.0002459414,0.00001989427,0.1426628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2921001,"threshold_uncertainty_score":0.9995058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007973259186688014,"score_gpt":0.2106451098524661,"score_spread":0.2026718506657781,"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."}}