{"id":"W2895773800","doi":"10.18785/slis.0701.06","title":"British Studies Interview","year":2018,"lang":"en","type":"article","venue":"SLIS Connecting","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Permission; History; Geography; Political science; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002390007,0.0003116781,0.0004659178,0.001864987,0.007118921,0.001902096,0.0006364199,0.003136912,0.08313058],"category_scores_gemma":[0.01074314,0.000535958,0.0001622524,0.004053215,0.0009988591,0.001609395,0.001978409,0.004064604,0.02037164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024431,"about_ca_system_score_gemma":0.009395066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3807936,"about_ca_topic_score_gemma":0.5996587,"domain_scores_codex":[0.9977328,0.0006791126,0.0001501974,0.0002814117,0.0004431731,0.0007133419],"domain_scores_gemma":[0.9933565,0.001872307,0.0002253849,0.0003036506,0.003091728,0.001150383],"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":[0.00003730755,0.00001460297,0.001034799,0.0001286941,0.000001382952,0.0001850992,0.02026735,0.00001477348,0.0002301137,0.004597783,0.9641491,0.009338931],"study_design_scores_gemma":[0.000003348032,0.000004884555,0.002467486,0.00006205736,5.927735e-7,0.00002404916,0.009594396,0.000009270132,0.00003433463,0.0001752779,0.9876183,0.000005935951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06302363,0.01267314,0.00150754,0.1626622,0.01008856,0.002236523,0.05459709,0.0002526498,0.6929587],"genre_scores_gemma":[0.1007388,0.003635621,0.000779999,0.04047509,0.0005627726,0.00325427,0.00546283,0.0001265968,0.8449641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3807936,"threshold_uncertainty_score":0.7571543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263928253672916,"score_gpt":0.3676032598592137,"score_spread":0.2412104344919221,"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."}}