{"id":"W4404903500","doi":"","title":"Growing Agency: The Labors of Political Translation","year":2014,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Agency (philosophy); Politics; Translation (biology); Political science; Public administration; Sociology; Social science; Law; Chemistry","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00243692,0.0003809115,0.0008980817,0.0004150068,0.001076967,0.001844144,0.001779936,0.0001249698,0.02102125],"category_scores_gemma":[0.0001720813,0.000277858,0.0003837992,0.000407447,0.0005283557,0.003994318,0.000250057,0.0005613784,0.00002658806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003206319,"about_ca_system_score_gemma":0.0001136494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418999,"about_ca_topic_score_gemma":0.0006257726,"domain_scores_codex":[0.9959307,0.0008886399,0.001400808,0.0003702596,0.0008769516,0.0005325805],"domain_scores_gemma":[0.9955088,0.002178268,0.001194744,0.0004600622,0.0004604419,0.0001976263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001125533,0.001040295,0.1243123,0.001384601,0.002680464,0.00001711114,0.04426286,0.0004389598,0.008956512,0.4457016,0.03760336,0.3324763],"study_design_scores_gemma":[0.0009039514,0.00004343297,0.1928545,0.0006783142,0.0007613492,0.0000048983,0.003872159,0.0003592389,0.00182328,0.01964582,0.7784681,0.0005849241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5099849,0.1732286,0.00192466,0.01469042,0.00495941,0.001560062,0.0006206696,0.00008172863,0.2929496],"genre_scores_gemma":[0.9868428,0.01078997,0.0000479808,0.0007379449,0.0008359244,0.00001549312,0.00001067996,0.00005092439,0.0006683011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7408648,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3697649763180575,"score_gpt":0.539880262868839,"score_spread":0.1701152865507814,"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."}}