{"id":"W2969751580","doi":"","title":"The Right Marginal Notes on Glaídemain and Gúdemain in TCD MS 1337","year":2018,"lang":"en","type":"article","venue":"Studia Celtica Fennica","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Margin (machine learning); Interpretation (philosophy); Literature; Battle; Philosophy; History; Linguistics; Art; Computer science; Ancient history","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":[],"consensus_categories":[],"category_scores_codex":[0.0004686161,0.0001554591,0.0001741481,0.00005517506,0.0007699584,0.0001644202,0.0001557427,0.00004216637,0.0006124912],"category_scores_gemma":[0.0004741256,0.00009409779,0.00004369947,0.0000436194,0.0007029269,0.00003484415,0.00008801988,0.0001740751,0.0001662021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000398292,"about_ca_system_score_gemma":0.0000393598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004155124,"about_ca_topic_score_gemma":0.01184803,"domain_scores_codex":[0.998906,0.00008187764,0.0002315162,0.0002497229,0.0001832775,0.0003475928],"domain_scores_gemma":[0.9989163,0.0006200118,0.0000601696,0.0002534637,0.00008783351,0.00006222108],"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":[0.00006552889,0.00008443859,0.0004368551,0.00001037002,0.00003223007,0.00001937017,0.01127762,2.773043e-7,0.00002201217,0.9807332,0.006095813,0.001222327],"study_design_scores_gemma":[0.0007031346,0.0003907979,0.01299751,0.00006352296,0.00003757099,0.000002493805,0.001460197,0.0002593585,0.00005009923,0.01444481,0.9693231,0.0002674161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2534042,0.001937874,0.00004709722,0.006546467,0.002129881,0.0005962138,0.00005867932,0.0001024339,0.7351772],"genre_scores_gemma":[0.994804,0.00009495411,0.0001022997,0.0003638992,0.002082609,0.00002141057,0.00000416307,0.00001607369,0.002510605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9662883,"threshold_uncertainty_score":0.6706349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517018083688294,"score_gpt":0.2428065515993264,"score_spread":0.2276363707624435,"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."}}