{"id":"W7075995672","doi":"","title":"Breaking The Language Barrier","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Service (business); Machine translation; Language industry; Translation (biology); General motors","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01609606,0.0004495472,0.0005893987,0.001576824,0.003916776,0.007139202,0.001523152,0.002948626,0.06161256],"category_scores_gemma":[0.06361772,0.000409835,0.0004237668,0.001056588,0.005314154,0.01273908,0.01104773,0.006612072,0.03711298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305261,"about_ca_system_score_gemma":0.006853248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005120169,"about_ca_topic_score_gemma":0.005209383,"domain_scores_codex":[0.9906811,0.004264473,0.0005452078,0.0009369383,0.002247002,0.00132519],"domain_scores_gemma":[0.9626869,0.0179071,0.001758843,0.006055149,0.008417292,0.003174719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001612617,0.00006573705,0.00162304,0.0003329019,0.00001795546,0.0008681919,0.0118595,0.000111417,0.001516303,0.2652592,0.4112116,0.3069728],"study_design_scores_gemma":[0.0000207036,0.00003243003,0.001022042,0.0005084658,0.00000957537,0.0008568508,0.004396425,0.0001183562,0.0005707206,0.0287012,0.9637446,0.0000187336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02103734,0.01001453,0.0354431,0.3569848,0.01038421,0.0001393198,0.0005227352,0.001866561,0.5636074],"genre_scores_gemma":[0.3628868,0.008875947,0.02631915,0.1966178,0.004716779,0.000493379,0.0009588267,0.004235,0.3948963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06161256,"threshold_uncertainty_score":0.2061145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004740981870582518,"score_gpt":0.1970772444687211,"score_spread":0.1923362625981385,"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."}}