{"id":"W6945381154","doi":"10.25592/dgs.corpus-type-86455","title":"TORONTO1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)","year":2018,"lang":"en","type":"dataset","venue":"Universität Hamburg","topic":"Plant and Fungal Species Descriptions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Akademie der Wissenschaften in Hamburg","keywords":"Annotation; German; Sign language; Cover (algebra); Semantics (computer science); Interview","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":[0.0009885394,0.001798595,0.0008946822,0.004277618,0.001266716,0.002216318,0.001729484,0.001363778,0.05816032],"category_scores_gemma":[0.003772739,0.0006362419,0.0006373018,0.00603398,0.0006378493,0.001405035,0.002533697,0.001236554,0.06563852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498928,"about_ca_system_score_gemma":0.003531279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09858496,"about_ca_topic_score_gemma":0.2239019,"domain_scores_codex":[0.9991168,0.0001687606,0.0001081449,0.0002809048,0.0001782508,0.000147089],"domain_scores_gemma":[0.9983688,0.0004367183,0.0002030758,0.0004112017,0.0003772381,0.0002029422],"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":[0.00009146391,0.00001206212,0.001227652,0.001060625,0.00002092659,0.00007721096,0.0002301076,0.0001532695,0.0003977845,0.0008843332,0.9923024,0.003542138],"study_design_scores_gemma":[0.00004289834,0.000006708707,0.004389119,0.0002035864,0.00001312547,0.00005448585,0.0002123159,0.0001427069,0.0003787135,0.0004138895,0.9941221,0.00002040447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003543979,0.00008744557,0.0001400525,0.00004008463,0.0000207931,0.00001168892,0.9976624,0.000453735,0.001229299],"genre_scores_gemma":[0.0005562705,0.00004898702,0.0003658596,0.00001966303,0.000003548797,0.00005381572,0.9979905,0.00009624251,0.0008652323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09858496,"threshold_uncertainty_score":0.1960223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008656519314422925,"score_gpt":0.2099228376349127,"score_spread":0.2012663183204898,"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."}}