{"id":"W2996094000","doi":"10.4000/estampe.556","title":"La carte-adresse d’Alexis Naquet (supplément à l’article du numéro 253)","year":2016,"lang":"fr","type":"article","venue":"Nouvelles de l estampe","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Art; Humanities","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":["insufficient_payload"],"category_scores_codex":[0.000318425,0.0004011845,0.0005014783,0.00005171984,0.002819751,0.0002414519,0.0003192401,0.0002462617,0.01084861],"category_scores_gemma":[0.0001133887,0.0002562107,0.000457036,0.0001136985,0.0009565507,0.0002538708,0.0001775812,0.0002507627,0.001131843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365243,"about_ca_system_score_gemma":0.00009225369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005430051,"about_ca_topic_score_gemma":0.006584599,"domain_scores_codex":[0.9975247,0.0002727457,0.0004765746,0.0004696676,0.0003982386,0.0008581025],"domain_scores_gemma":[0.9985414,0.0004060564,0.0001538748,0.0003265931,0.0002269725,0.0003451187],"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":[0.0000805656,0.0007480833,0.00218671,0.000146435,0.0005727173,0.0002440662,0.2461522,0.00001489771,0.000533156,0.2518212,0.4522315,0.04526853],"study_design_scores_gemma":[0.0006828191,0.000171501,0.0002277905,0.0001404862,0.0002297825,0.00001343504,0.01921836,0.0000620445,0.0001544214,0.002815173,0.975818,0.0004661506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179015,0.01038142,0.0001917026,0.2464576,0.002098399,0.0002414394,0.000305756,0.0001401616,0.02228198],"genre_scores_gemma":[0.7944489,0.01919764,0.0001306186,0.0006901711,0.003128062,0.00005053946,0.000009144411,0.00004642524,0.1822986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5235866,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235532978313528,"score_gpt":0.2102487850051458,"score_spread":0.1978934552220105,"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."}}