{"id":"W6912518259","doi":"10.5281/zenodo.3518958","title":"The ELEXIS Interface for Interoperable Lexical Resources","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"Horizon 2020 Framework Programme","keywords":"Interoperability; Interface (matter); Key (lock); User interface; Component (thermodynamics); Rest (music)","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":[0.007868048,0.001576337,0.001130959,0.004968432,0.001014649,0.006254455,0.002571154,0.001971612,0.07091749],"category_scores_gemma":[0.0145455,0.001170246,0.001345444,0.003497118,0.001319536,0.01192298,0.01066149,0.003011292,0.03759635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210824,"about_ca_system_score_gemma":0.001675172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686882,"about_ca_topic_score_gemma":0.001291576,"domain_scores_codex":[0.9956773,0.001478561,0.0009598148,0.0004778168,0.001087914,0.0003186039],"domain_scores_gemma":[0.9945585,0.002214531,0.0002377631,0.001833983,0.0008078106,0.0003474183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001299765,0.0003266663,0.002199194,0.001298739,0.0001637404,0.001494152,0.00337468,0.002189058,0.01669337,0.4301877,0.2585372,0.2822358],"study_design_scores_gemma":[0.000218642,0.00008398933,0.0009428062,0.0003374663,0.00003879373,0.0007302547,0.000508811,0.01103207,0.01051869,0.0871533,0.8883125,0.0001228003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006428948,0.0004556788,0.8021746,0.00105622,0.0003777137,0.0007266524,0.01745852,0.1006537,0.07066809],"genre_scores_gemma":[0.08562258,0.001069155,0.6772262,0.001676821,0.0004465907,0.002353513,0.114253,0.04266746,0.07468468],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07091749,"threshold_uncertainty_score":0.2372426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05057420816077311,"score_gpt":0.2497481878718153,"score_spread":0.1991739797110422,"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."}}