{"id":"W3092091736","doi":"10.1080/08865655.2020.1828143","title":"(B)ordering Britain: law, race and empire","year":2020,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Empire; Political science; Law; Sociology; Law and economics; Gender studies","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":[],"consensus_categories":[],"category_scores_codex":[0.000455251,0.00009568942,0.0003184419,0.00003193324,0.0005209483,0.00009590222,0.0001433559,0.00004477064,0.00001645924],"category_scores_gemma":[0.0004014063,0.00008045306,0.00007545323,0.0001413282,0.0002249793,0.0002434748,0.000073278,0.0001713607,0.00000230524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221539,"about_ca_system_score_gemma":0.00008021069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562001,"about_ca_topic_score_gemma":0.001040447,"domain_scores_codex":[0.9990159,0.00008350303,0.0002631999,0.0001064313,0.0003226126,0.0002083234],"domain_scores_gemma":[0.9992124,0.0001157221,0.000174554,0.00004504176,0.0002941572,0.0001581174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001684177,0.0001031368,0.05028336,0.0002248373,0.0009300287,0.0002336885,0.8765336,0.0000396476,0.0001543385,0.01782611,0.02727636,0.02622644],"study_design_scores_gemma":[0.001067275,0.0003985119,0.003692075,0.0001073296,0.00009757232,0.00002528694,0.2851472,0.00003078614,0.00003687955,0.003043175,0.7061169,0.00023704],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7788475,0.09449989,0.0001281318,0.1038865,0.0007030806,0.0001545387,0.000003061054,0.00004734831,0.02173001],"genre_scores_gemma":[0.9826058,0.01495727,0.0002272906,0.001424429,0.0006148565,0.00000100477,1.169143e-7,0.000006975172,0.0001622325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6788405,"threshold_uncertainty_score":0.4006765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300862271582883,"score_gpt":0.3430770697667482,"score_spread":0.2800684470509194,"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."}}