{"id":"W3029286378","doi":"10.3929/ethz-b-000462327","title":"UniMorph 3.0: Universal Morphology","year":2020,"lang":"en","type":"article","venue":"Minerva Access (University of Melbourne)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unimorph; Computer science; Schema (genetic algorithms); Annotation; Artificial intelligence; Natural language processing; Software engineering; Information retrieval","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":[0.003200412,0.001322786,0.001076632,0.003806278,0.0008849372,0.003629718,0.004207577,0.0009627486,0.05694225],"category_scores_gemma":[0.007313519,0.001943782,0.001531865,0.003082917,0.001152389,0.006823387,0.006716519,0.001744002,0.03154952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438009,"about_ca_system_score_gemma":0.002508282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002413182,"about_ca_topic_score_gemma":0.003274442,"domain_scores_codex":[0.9973597,0.0003247621,0.0003381271,0.0007090173,0.001100352,0.0001679953],"domain_scores_gemma":[0.9977742,0.000480745,0.0001763748,0.0009212654,0.0005077345,0.0001396611],"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":[0.0006294671,0.000141153,0.003696131,0.001895157,0.0001434432,0.0005532461,0.001343773,0.002787289,0.01969761,0.06789909,0.5709409,0.3302727],"study_design_scores_gemma":[0.00007376209,0.00006221107,0.002512888,0.0001844131,0.00003751881,0.001295445,0.0002832183,0.01115538,0.0223015,0.02844474,0.9335526,0.00009629955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008792526,0.0004488189,0.4528447,0.0005522857,0.0002026001,0.0005272536,0.07184018,0.4191827,0.04560899],"genre_scores_gemma":[0.06346738,0.0005771324,0.5557053,0.0007629126,0.00009834618,0.001804984,0.2127618,0.1381599,0.0266623],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05694225,"threshold_uncertainty_score":0.1904908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029680250246535,"score_gpt":0.2431710628218441,"score_spread":0.2128742603193787,"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."}}