{"id":"W2062268417","doi":"10.7202/1017695ar","title":"Les « Vieux dossiers » du ministère de l’Agriculture","year":2013,"lang":"fr","type":"article","venue":"Revue de Bibliothèque et Archives nationales du Québec","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Computer science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003129015,0.000454474,0.00039643,0.001915562,0.008766305,0.005251408,0.0007890696,0.002136162,0.01645361],"category_scores_gemma":[0.008263411,0.0005953523,0.0003999488,0.002831072,0.003588039,0.001659239,0.001277544,0.005430426,0.001111222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06088713,"about_ca_system_score_gemma":0.05097009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9197353,"about_ca_topic_score_gemma":0.9383585,"domain_scores_codex":[0.9955378,0.001247241,0.0001428321,0.0003503736,0.001766928,0.0009548055],"domain_scores_gemma":[0.9967898,0.001005871,0.0002298686,0.000258585,0.001281263,0.0004346061],"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":[0.0004753637,0.0001362915,0.01772921,0.0004454678,0.00006782819,0.0008963498,0.02846134,0.001299133,0.004478942,0.5943866,0.2110295,0.140594],"study_design_scores_gemma":[0.00002385702,0.00002176183,0.03084741,0.0001426176,0.000009820581,0.00008761424,0.002855339,0.0002009764,0.0007112395,0.002767176,0.9622838,0.0000483517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2585071,0.02450888,0.006337418,0.09409546,0.0039172,0.000253599,0.004389627,0.0004960267,0.6074947],"genre_scores_gemma":[0.5387931,0.004696614,0.003510811,0.004983934,0.0003403251,0.0001664183,0.0007519263,0.0001829947,0.4465738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08026475,"threshold_uncertainty_score":0.4417691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472929094822898,"score_gpt":0.2153505302272047,"score_spread":0.2006212392789757,"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."}}