{"id":"W2327795117","doi":"10.1080/00085006.2012.11092701","title":"Review Article","year":2012,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004889104,0.0001550683,0.0001866085,0.0001055741,0.0001305265,0.00001679339,0.0002130671,0.00005917486,0.005566525],"category_scores_gemma":[0.000232943,0.0001555767,0.0000930211,0.0004851769,0.00007667607,0.0002265679,0.00001389682,0.0001529964,0.03912961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901011,"about_ca_system_score_gemma":0.0005952705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03252578,"about_ca_topic_score_gemma":0.2064444,"domain_scores_codex":[0.9982312,0.00007803793,0.0001844752,0.000180225,0.0001449625,0.001181049],"domain_scores_gemma":[0.9975257,0.00002791531,0.00004329141,0.0004919101,0.00003138582,0.001879823],"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":[0.000004668234,0.00004736676,0.0267303,0.00031626,0.0001141052,0.00003959025,0.000579592,0.000002714541,0.01018063,0.01032081,0.91527,0.03639391],"study_design_scores_gemma":[0.0001452315,0.000007256122,0.01430775,0.0002502795,0.00005439892,0.00003384081,0.00005719449,0.000004086143,0.0001714471,0.00001492669,0.9847271,0.0002264966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06798367,0.218198,4.441338e-7,0.00313889,0.0005357864,0.0005640695,0.0001137979,0.0002186079,0.7092468],"genre_scores_gemma":[0.9811237,0.001353701,0.00006479508,0.01585778,0.0001552488,0.00003536035,0.00001696351,0.00006965295,0.001322823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.91314,"threshold_uncertainty_score":0.9953425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928529301985457,"score_gpt":0.2519264955494104,"score_spread":0.2326412025295559,"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."}}