{"id":"W2082597929","doi":"10.3115/1654449.1654479","title":"RALI","year":2005,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Machine translation; Phrase; Task (project management); Natural language processing; Translation (biology); Artificial intelligence; Quality (philosophy); Programming language; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124895,0.001006008,0.0006971097,0.002476988,0.001953275,0.00401236,0.001485467,0.00162018,0.3205861],"category_scores_gemma":[0.004252374,0.0004162258,0.0006301528,0.001617076,0.000704501,0.002584253,0.003289472,0.001971622,0.3125958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615867,"about_ca_system_score_gemma":0.001842508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954049,"about_ca_topic_score_gemma":0.005806718,"domain_scores_codex":[0.9986772,0.0002173507,0.00008373211,0.0003129182,0.0005331972,0.0001756317],"domain_scores_gemma":[0.9981804,0.0001955505,0.0001036402,0.0005055358,0.0007795083,0.0002353711],"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":[0.0002699501,0.0001380528,0.002185699,0.0004847039,0.00003585959,0.0005398372,0.0006499086,0.000728962,0.009521645,0.08442879,0.3892282,0.5117883],"study_design_scores_gemma":[0.00001268127,0.00002789715,0.0005747128,0.00007152167,0.000009863982,0.0003649757,0.0001379091,0.0007740402,0.002688668,0.005273289,0.9900462,0.0000181856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006521582,0.002599653,0.03681002,0.00563405,0.003172236,0.0003031393,0.007129622,0.009089882,0.9287398],"genre_scores_gemma":[0.04345088,0.002251493,0.02698678,0.002238888,0.0006328322,0.000238963,0.01152187,0.001785595,0.9108927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3205861,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009836619167801024,"score_gpt":0.2696904957148943,"score_spread":0.2598538765470932,"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."}}