{"id":"W4285051549","doi":"","title":"Nec eum laboris sui mercede defrudes (Ambroise de Milan, De Tobia, 24, 92) : lire l’inégalité sociale tardo-antique dans les conflits de travail et leur résolution","year":2020,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Classical Studies and Legal History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Antique; Art; Humanities; Visual arts","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","sts"],"consensus_categories":[],"category_scores_codex":[0.004184258,0.0007081369,0.0008480122,0.0001192571,0.002417598,0.0007768787,0.001254954,0.0005943839,0.0008190737],"category_scores_gemma":[0.001381728,0.0007958498,0.0006214638,0.0002099814,0.001637303,0.000221881,0.0009091388,0.001655458,0.00009097171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514353,"about_ca_system_score_gemma":0.001336065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1602555,"about_ca_topic_score_gemma":0.3625483,"domain_scores_codex":[0.9888273,0.007626563,0.0009220517,0.001056532,0.0005310226,0.001036542],"domain_scores_gemma":[0.9944465,0.001495612,0.000673648,0.001128519,0.001712977,0.0005427497],"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":[0.00007338773,0.001081967,0.004717611,0.0005825003,0.0003182853,0.00003339877,0.2736284,0.0001083725,0.006363214,0.6636728,0.03548435,0.01393576],"study_design_scores_gemma":[0.0006584529,0.000004943237,0.02212112,0.001406936,0.0002724016,0.00001540428,0.006992394,0.003561698,0.00262263,0.002207514,0.9592729,0.0008635986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474883,0.02086744,0.0498433,0.1510502,0.001402433,0.001423913,0.002523412,0.0008422339,0.2971641],"genre_scores_gemma":[0.7749622,0.01103174,0.00708155,0.001554656,0.0005326008,0.0002147457,0.0008330864,0.0001772042,0.2036122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9237885,"threshold_uncertainty_score":0.9994493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711211139389293,"score_gpt":0.2330769210449306,"score_spread":0.2059648096510377,"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."}}