{"id":"W7053528550","doi":"","title":"Вопросы сопоставительной и прикладной лингвистики = Kõrvutava ja rakenduslingvistika küsimusi","year":2012,"lang":"ru","type":"book","venue":"DSpace repository (University of Tartu)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noun; Estonian; Prefix; Typology; Germanic languages; Word (group theory); Semantic property; Semantics (computer science)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003660755,0.0009087641,0.001373351,0.0005982075,0.001296334,0.0001417643,0.001202599,0.001127525,0.001652692],"category_scores_gemma":[0.00003354865,0.001185333,0.001122232,0.0005009108,0.0009504171,0.0006508367,0.0005188423,0.001433946,0.0009257199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100238,"about_ca_system_score_gemma":0.0007923511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008596393,"about_ca_topic_score_gemma":0.00004788297,"domain_scores_codex":[0.99624,0.0002457185,0.0006451983,0.001097515,0.0008402772,0.0009313512],"domain_scores_gemma":[0.9954044,0.0002295293,0.001814147,0.001529855,0.0005012486,0.0005208673],"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":[0.001491267,0.003694456,0.1063172,0.002932154,0.0130942,0.0009006862,0.03064301,0.008099135,0.01551974,0.04594632,0.5464444,0.2249175],"study_design_scores_gemma":[0.001588453,0.000299333,0.004280793,0.0004859545,0.0009338825,0.00002551462,0.01209192,0.001656135,0.001522732,0.0003005253,0.9751934,0.001621392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3072478,0.004328254,0.004666256,0.001985661,0.009520202,0.002518625,0.000749881,0.001493514,0.6674898],"genre_scores_gemma":[0.5781038,0.0001412107,0.0006317077,0.00002380018,0.0006920089,0.000001288704,0.00005897892,0.00007689843,0.4202703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.428749,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009868354730629353,"score_gpt":0.1805689100110377,"score_spread":0.1707005552804084,"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."}}