{"id":"W7062277205","doi":"","title":"Training Interpreters in Legal Settings: Applying Role-Space Theory in the Classroom","year":2022,"lang":"en","type":"article","venue":"Open Research Online (The Open University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpreter; Oppression; Disadvantaged; Work (physics); Field (mathematics); Legal education; State (computer science); Training (meteorology); Legal translation; Legal research","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":["open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.008532928,0.0001522706,0.000232796,0.0005367354,0.001067126,0.0007940233,0.007765224,0.00002463942,0.03432964],"category_scores_gemma":[0.00007841823,0.000119486,0.00006606444,0.002288997,0.0002058054,0.0002456691,0.01052608,0.001952922,0.00002084081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262113,"about_ca_system_score_gemma":0.0007213239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570933,"about_ca_topic_score_gemma":0.003142059,"domain_scores_codex":[0.9940891,0.003628622,0.0002305828,0.0005035892,0.0008320688,0.0007160708],"domain_scores_gemma":[0.9978287,0.001253151,0.00007887123,0.0006683645,0.00008007114,0.00009085943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001217456,0.0009385467,0.00630736,0.00001369538,0.0000780997,0.0003107995,0.0153789,0.0004812902,0.0009230348,0.288828,0.007296791,0.678226],"study_design_scores_gemma":[0.001147338,0.0001342983,0.0007559167,0.00003692337,0.000004417839,0.000001445565,0.318136,0.002534655,0.00001389494,0.001214634,0.6758947,0.0001257252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1272198,0.0000151556,0.00006542123,0.01910111,0.00003126165,0.004296723,0.0000734632,0.00000659852,0.8491904],"genre_scores_gemma":[0.9389018,0.000006143498,0.0002874329,0.0002713787,0.00004744643,0.0001946585,0.00007864274,0.00001882584,0.06019366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.811682,"threshold_uncertainty_score":0.9976032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06383071120189156,"score_gpt":0.34809632841708,"score_spread":0.2842656172151885,"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."}}