{"id":"W2930492841","doi":"10.5281/zenodo.1451753","title":"OcOr : a Corpus of Occitan Oral Narratives","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medieval European Literature and History","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"European Commission","keywords":"Narrative; Linguistics; Art; History; Literature; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005674443,0.00028124,0.0003742816,0.0004122035,0.002010484,0.0007756102,0.00135346,0.000104739,0.1099182],"category_scores_gemma":[0.0003285426,0.0002633099,0.0001196282,0.000135,0.001035346,0.0002161968,0.00073627,0.0004886287,0.01043084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007754996,"about_ca_system_score_gemma":0.00001029506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004485443,"about_ca_topic_score_gemma":0.0000143098,"domain_scores_codex":[0.9977627,0.0004964877,0.0004474338,0.0004727817,0.0004806729,0.0003399355],"domain_scores_gemma":[0.9976731,0.00002295411,0.0003579466,0.0007127586,0.001064665,0.0001686021],"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":[0.00009822375,0.0001489048,1.839344e-8,0.0002587358,0.00008220413,0.00002209297,0.01075601,1.208745e-7,0.00006565353,0.004614032,0.9822803,0.001673755],"study_design_scores_gemma":[0.0003084075,0.0007013293,0.000002567143,0.0001435529,0.00004433091,0.00002649323,0.0007767398,0.000001257191,0.00001257918,0.00009614309,0.9976146,0.0002719882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001281679,0.0003157768,0.000007804296,0.0000820316,0.0007145602,0.0003409195,0.8459939,0.000226922,0.1521899],"genre_scores_gemma":[0.0003321027,0.0001052597,0.00003517286,0.0002148124,0.001433291,4.216487e-8,0.9870831,0.0009906467,0.009805525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1423844,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912572017238043,"score_gpt":0.242826570614634,"score_spread":0.1937008504422536,"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."}}