{"id":"W2800384592","doi":"","title":"De concordia inter codices: Vers une harmonisation entre le code latin et le code oriental","year":2017,"lang":"fr","type":"article","venue":"Studia canonica","topic":"Historical and Linguistic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Humanities; Philosophy; Art; Computer science; Programming language","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005965679,0.0002487399,0.0004266943,0.00002989477,0.002971094,0.0001901484,0.0005355293,0.0001672823,0.0002702742],"category_scores_gemma":[0.001419493,0.0002575632,0.0001657201,0.0001613813,0.001989034,0.0001712862,0.0002644639,0.0003193957,0.0001849175],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000912398,"about_ca_system_score_gemma":0.006914261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1556384,"about_ca_topic_score_gemma":0.1719744,"domain_scores_codex":[0.9978957,0.0002716314,0.0003603507,0.0004551382,0.0003894129,0.0006277356],"domain_scores_gemma":[0.9984231,0.0004202073,0.0003661008,0.0003604733,0.0001831844,0.0002469402],"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":[0.00008436941,0.0003796349,0.02958588,0.00004735463,0.0003107989,0.00007333267,0.08713377,0.00001068951,0.00005461836,0.7635162,0.113889,0.004914236],"study_design_scores_gemma":[0.001173924,0.0001051194,0.01193066,0.00008168604,0.0001159602,0.000001008135,0.0173267,0.00001533151,0.00002926995,0.0006177429,0.9683114,0.000291214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01838937,0.003452577,0.0002057782,0.08138335,0.006796278,0.0003342874,0.0002779741,0.00006941314,0.889091],"genre_scores_gemma":[0.9532429,0.0007879091,0.0002559202,0.0005533497,0.0009495888,0.00003663764,0.00001245433,0.00002259107,0.04413864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9348536,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04643904026010006,"score_gpt":0.3263350576256895,"score_spread":0.2798960173655894,"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."}}