{"id":"W3047176389","doi":"10.7202/1070264ar","title":"State-funded Support of International Trade in Rights and Licenses","year":2020,"lang":"en","type":"article","venue":"Mémoires du livre","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Honor; Diplomacy; Scope (computer science); Political science; Diversity (politics); State (computer science); Function (biology); Human rights; Public administration; Sociology; Law; Politics; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000474805,0.00006459252,0.000112412,0.00003226547,0.00006948907,0.00005501519,0.0000611305,0.00001336637,0.001040371],"category_scores_gemma":[0.000007418802,0.00005262324,0.00002424989,0.00001938081,0.00009088371,0.0002202404,0.00001776117,0.00005849413,0.000007465233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004338902,"about_ca_system_score_gemma":0.000008091064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000401365,"about_ca_topic_score_gemma":0.002378382,"domain_scores_codex":[0.9995226,0.00002163904,0.0001735668,0.0001043197,0.000104203,0.00007367675],"domain_scores_gemma":[0.9997626,0.00009523936,0.00006290279,0.0000362025,0.00001248099,0.00003056753],"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":[0.0008263977,0.000496526,0.04008349,0.0002717763,0.0003991193,0.00007613211,0.5992501,0.00005764949,0.0002546825,0.2414993,0.0880701,0.02871472],"study_design_scores_gemma":[0.0003499419,0.00008406505,0.004737085,0.00000795331,0.000008006326,9.669045e-7,0.001342592,0.00005178275,0.00005556067,0.0004885141,0.9928084,0.00006510714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6108641,0.001443819,0.00003025494,0.06069373,0.0006540742,0.0002549861,0.0003374263,0.00008891798,0.3256327],"genre_scores_gemma":[0.9985248,0.0002406858,0.00005118463,0.0006220505,0.0001921987,0.000002889469,0.000009277854,0.00000496297,0.0003519068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9047383,"threshold_uncertainty_score":0.9998728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934398954953743,"score_gpt":0.2533843593687288,"score_spread":0.2140403698191913,"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."}}