{"id":"W4243210541","doi":"10.4000/memini.61","title":"Introduction","year":2008,"lang":"en","type":"article","venue":"Memini","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002183346,0.00002473095,0.00003851243,0.00001333449,0.0002970285,0.000006297565,0.00006388954,0.00002887343,0.001429156],"category_scores_gemma":[0.0002792712,0.00002256987,0.00001444776,0.00008022319,0.0001120546,0.00007288996,0.000007520102,0.00004406325,0.0006353517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001775748,"about_ca_system_score_gemma":0.00004587151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004905936,"about_ca_topic_score_gemma":0.0001635786,"domain_scores_codex":[0.9995469,0.00003343586,0.00004744636,0.00008162567,0.0001717411,0.0001188683],"domain_scores_gemma":[0.9998081,0.00002559498,0.00001404052,0.00006541525,0.0000289026,0.00005789252],"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":[0.00003353233,0.00009828606,0.006437142,0.00001685771,0.00001500863,0.00003803071,0.1600201,0.00001646481,0.001381419,0.02103556,0.7457829,0.0651247],"study_design_scores_gemma":[0.00005016707,0.0000112108,0.002663097,0.000001473008,0.000004182816,0.000003387945,0.002232248,0.00001006729,0.0002416419,0.0003018313,0.9944347,0.00004602928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7704759,0.00009956096,0.0003265577,0.009538905,0.00140517,0.00005787343,4.997691e-7,0.00009148222,0.2180041],"genre_scores_gemma":[0.9524007,0.0001866607,0.0003312109,0.0001733631,0.004497611,0.000002672773,0.000001157564,0.000002828767,0.04240378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2486518,"threshold_uncertainty_score":0.9994836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04185225461617659,"score_gpt":0.2895392571911848,"score_spread":0.2476870025750082,"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."}}