{"id":"W2106394101","doi":"10.7202/029796ar","title":"The Unit of Translation: Statistics Speak","year":2009,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Macquarie University","keywords":"Sentence; Context (archaeology); Linguistics; Subject (documents); Identification (biology); Computer science; Natural language processing; Psychology; History; Philosophy; Library science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04357779,0.0007637204,0.002001348,0.01192473,0.001889137,0.007646633,0.001537007,0.001549674,0.01235811],"category_scores_gemma":[0.287058,0.0004732251,0.00133895,0.02126601,0.009379711,0.01103459,0.004981655,0.004170817,0.003139384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533324,"about_ca_system_score_gemma":0.001907199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330135,"about_ca_topic_score_gemma":0.0007357768,"domain_scores_codex":[0.9185343,0.05185796,0.005685767,0.01070401,0.01146497,0.001752996],"domain_scores_gemma":[0.4476983,0.4883062,0.02554045,0.02826696,0.008577362,0.00161068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001796159,0.00030539,0.3456154,0.002154402,0.002152113,0.001241381,0.02586413,0.003570869,0.001326104,0.272886,0.07366768,0.2694204],"study_design_scores_gemma":[0.0002200426,0.002541129,0.2587172,0.001494538,0.001111185,0.004411154,0.03397276,0.04385038,0.004312062,0.4782696,0.1705959,0.0005040573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490852,0.01153519,0.3557313,0.01322705,0.003718085,0.001083019,0.02102508,0.003005574,0.09982269],"genre_scores_gemma":[0.9587913,0.0008827602,0.02853737,0.0009846064,0.001139734,0.001811207,0.004772127,0.0007651483,0.002315597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04357779,"threshold_uncertainty_score":0.2304642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371525780886655,"score_gpt":0.3000459238541289,"score_spread":0.2563306660452624,"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."}}