{"id":"W6913258654","doi":"10.5683/sp2/h8szbz","title":"Résultats du sondage sur la gestion des données de recherche à l'École nationale d'administration publique (2018)","year":2020,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Documentation; Information system; Government (linguistics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009247636,0.002297926,0.001374882,0.006577011,0.001361397,0.003453719,0.002018593,0.002048462,0.007560414],"category_scores_gemma":[0.0447375,0.0005989048,0.001739242,0.007051842,0.0008614024,0.002686343,0.002921745,0.00206058,0.01297932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003599824,"about_ca_system_score_gemma":0.00622931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1641864,"about_ca_topic_score_gemma":0.2238778,"domain_scores_codex":[0.9875009,0.0023179,0.001436793,0.002385287,0.005672963,0.0006861468],"domain_scores_gemma":[0.9772488,0.008223148,0.001092059,0.003632573,0.008945854,0.0008575681],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003153404,0.00005701313,0.008544633,0.001413309,0.0002036159,0.00006043816,0.0001754104,0.001324767,0.0008669462,0.0009881726,0.9653296,0.02072085],"study_design_scores_gemma":[0.0002042533,0.00008246639,0.04131529,0.0006820805,0.0002221685,0.0002422329,0.0006176807,0.004158009,0.003076439,0.001839706,0.9474498,0.0001097381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00509955,0.00147418,0.0008028019,0.0008887363,0.0002411124,0.0000385486,0.9851772,0.002720885,0.003556951],"genre_scores_gemma":[0.005673159,0.0003753699,0.002542442,0.0001292148,0.00003182881,0.00008441236,0.989208,0.0001964354,0.001759018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9964002,"threshold_uncertainty_score":0.3264614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1857696723151872,"score_gpt":0.3343286250704938,"score_spread":0.1485589527553066,"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."}}