{"id":"W3012534703","doi":"10.4000/archeomed.23804","title":"Thor (Le) (Vaucluse). L'enceinte urbaine","year":2019,"lang":"fr","type":"article","venue":"Archéologie médiévale","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Humanities; Art; Political science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001807165,0.0003406113,0.0005069148,0.0001000552,0.0004320214,0.00009178599,0.0009703445,0.0003827197,0.007795407],"category_scores_gemma":[0.0008047147,0.0003257024,0.0002758903,0.0005971157,0.001332653,0.0004873169,0.0003855059,0.0006054984,0.01481383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948361,"about_ca_system_score_gemma":0.0009390913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111587,"about_ca_topic_score_gemma":0.001009959,"domain_scores_codex":[0.9959185,0.0007919254,0.0004487832,0.000746015,0.0007468468,0.001347932],"domain_scores_gemma":[0.9976298,0.0009656618,0.0001821413,0.0006419921,0.0001660626,0.0004143122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003484848,0.001179756,0.04590294,0.001039033,0.0003952362,0.0003143969,0.0450833,0.0009676053,0.003078704,0.4136426,0.06659042,0.4214576],"study_design_scores_gemma":[0.000899996,0.0004768863,0.009362986,0.0002962652,0.000148431,0.00001821995,0.010898,0.002927916,0.0004098112,0.01575962,0.9580604,0.0007414056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957031,0.01545032,0.001050031,0.05775763,0.009634146,0.0007135257,0.00003754298,0.0002593081,0.3193944],"genre_scores_gemma":[0.6745792,0.003063583,0.001230797,0.001208432,0.000913596,0.00001691054,0.000008240399,0.00003110249,0.3189481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.89147,"threshold_uncertainty_score":0.9999195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363953620992351,"score_gpt":0.2950443887752051,"score_spread":0.2214048525652815,"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."}}