{"id":"W4383184463","doi":"10.5281/zenodo.8107968","title":"Linking Epic Speeches","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"EPIC; Computer science; Art; Literature","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":[0.002241338,0.001045223,0.0005913856,0.006759637,0.001566643,0.004966657,0.001096617,0.000889921,0.1241275],"category_scores_gemma":[0.01489059,0.0005980021,0.0005449262,0.003925353,0.0008266714,0.006503321,0.01025366,0.001579599,0.04702909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054814,"about_ca_system_score_gemma":0.001871466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343339,"about_ca_topic_score_gemma":0.003679657,"domain_scores_codex":[0.9972,0.0004693791,0.0003095473,0.0005680938,0.001237056,0.0002159736],"domain_scores_gemma":[0.9946273,0.001279694,0.000251653,0.001833865,0.001531455,0.0004760879],"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":[0.0003711969,0.0001266016,0.003083125,0.0008661907,0.0000383637,0.0005935365,0.004776157,0.001392971,0.003204371,0.07820223,0.6253206,0.2820246],"study_design_scores_gemma":[0.0000121495,0.00001000609,0.001032312,0.0001490739,0.000009037461,0.0001184287,0.0005863518,0.001249644,0.001924363,0.01406409,0.980804,0.00004045638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02351581,0.001033677,0.174652,0.00210621,0.005368871,0.001069841,0.1746838,0.09517635,0.5223935],"genre_scores_gemma":[0.13551,0.002058663,0.1491431,0.001741955,0.001950005,0.001429041,0.3197451,0.05124496,0.3371772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1241275,"threshold_uncertainty_score":0.4152477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224891210483331,"score_gpt":0.2614959891061893,"score_spread":0.1390068680578562,"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."}}