{"id":"W2902844232","doi":"","title":"Translatio. Traduire et adapter les Anciens","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Adapter (computing); Art; Computer science; Operating system","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005962288,0.0005314929,0.0006384277,0.0001324366,0.001606598,0.0003807279,0.001397987,0.000525364,0.002042589],"category_scores_gemma":[0.0008839129,0.0005371393,0.0004751135,0.0006644764,0.001435781,0.0004744581,0.0004890456,0.0009742998,0.000446354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317382,"about_ca_system_score_gemma":0.0003991056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804713,"about_ca_topic_score_gemma":0.01351094,"domain_scores_codex":[0.9859348,0.01066976,0.0007824629,0.001026829,0.000794625,0.0007915191],"domain_scores_gemma":[0.9937154,0.002240425,0.0004869853,0.001269743,0.001835613,0.0004518397],"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":[0.000007260468,0.0004971163,0.001334311,0.00008941225,0.00008903649,0.000004097787,0.2118327,0.00002038945,0.0001779863,0.6513662,0.005033652,0.1295478],"study_design_scores_gemma":[0.0003117316,6.748859e-7,0.006625714,0.0009971652,0.0000689841,0.000002916758,0.0008375895,0.001714533,0.000362077,0.006784134,0.9816913,0.0006031595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1355321,0.01315306,0.04066469,0.1120298,0.001270921,0.0009423857,0.0001872227,0.000382651,0.6958372],"genre_scores_gemma":[0.7087532,0.004010006,0.028447,0.0004799218,0.0001407545,0.0001340606,0.0002106989,0.00005833526,0.2577661],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9766577,"threshold_uncertainty_score":0.999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157885239768237,"score_gpt":0.2492242201966475,"score_spread":0.2176453677989652,"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."}}