{"id":"W6899056703","doi":"10.58079/c1y7","title":"UK: More than 8000 latin charters in fulltext","year":2004,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Government (linguistics); Context (archaeology); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001061906,0.0007724112,0.000477526,0.007441621,0.001131498,0.004759356,0.0005533271,0.0006405984,0.4310923],"category_scores_gemma":[0.003148044,0.0004531557,0.000194846,0.02035963,0.0009354032,0.002856362,0.001358281,0.0007096308,0.2511729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905398,"about_ca_system_score_gemma":0.003582833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773277,"about_ca_topic_score_gemma":0.03905304,"domain_scores_codex":[0.9990509,0.0001568794,0.0001224157,0.00009309406,0.0004919423,0.00008463225],"domain_scores_gemma":[0.9975483,0.0005793539,0.0003711675,0.0002895133,0.0009757144,0.0002359815],"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":[0.00001774924,0.00000394068,0.00008696094,0.000191362,0.000001407801,0.00003062685,0.0002228371,0.00002323568,0.0001791602,0.002098198,0.9685693,0.02857522],"study_design_scores_gemma":[0.000002923281,9.181307e-7,0.000432764,0.00004966647,3.724177e-7,0.00001199699,0.0001267689,0.000007631439,0.00006363073,0.0001461602,0.9991531,0.000004075037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003122208,0.01077078,0.002729125,0.005352756,0.003344699,0.000242795,0.2634904,0.005692618,0.7052546],"genre_scores_gemma":[0.01348518,0.009728201,0.005564847,0.001509179,0.0008759004,0.0004238322,0.1445691,0.005636262,0.8182075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4310923,"threshold_uncertainty_score":0.8114778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064514550892627,"score_gpt":0.2820753978058144,"score_spread":0.2614302522968882,"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."}}