{"id":"W4239699028","doi":"10.1080/00085006.2003.11092326","title":"Introduction","year":2003,"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":[0.0002569382,0.00013575,0.0001109207,0.0002471911,0.0001708446,0.00003370148,0.0001220105,0.00007827071,0.007870102],"category_scores_gemma":[0.0003318796,0.0001519059,0.00005560948,0.000476792,0.00008245192,0.0001019201,0.000002833547,0.0001532339,0.01451654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375157,"about_ca_system_score_gemma":0.001253358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03218959,"about_ca_topic_score_gemma":0.5196626,"domain_scores_codex":[0.9987156,0.00008495364,0.0001253227,0.0003161364,0.0001317775,0.0006262089],"domain_scores_gemma":[0.9987954,0.000012921,0.00003116621,0.0004135673,0.00003785305,0.0007090327],"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":[0.0000103479,0.00002486188,0.003306704,0.00001066468,0.000125341,0.0001198119,0.0006021343,0.0002380463,0.0416809,0.2094902,0.7344829,0.00990806],"study_design_scores_gemma":[0.0002135673,0.00001420268,0.001975048,0.000002254715,0.00001474419,0.000050574,0.0002218668,0.000006247354,0.001009334,0.0001714955,0.9961308,0.0001898813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1060271,0.0003939316,0.000001922985,0.002551834,0.001163964,0.0002116659,0.00004676641,0.0001569365,0.8894459],"genre_scores_gemma":[0.9897535,0.00000702101,0.0001440637,0.0006449296,0.0002983454,0.00001468574,0.00002248418,0.00006263029,0.009052313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8837264,"threshold_uncertainty_score":0.9930369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006551527561528612,"score_gpt":0.1932066910452593,"score_spread":0.1866551634837307,"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."}}