{"id":"W6931328055","doi":"10.5281/zenodo.3906469","title":"Sondage sur la capacité des services institutionnels de gestion des données de recherche, rapport INSIGHTS #1 Soutien à la GDR au sein des organisations : budget, structure et stratégies","year":2020,"lang":"fr","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University; University of Guelph; University of Toronto; Queen's University; Portage College","funders":"","keywords":"Government (linguistics); Management by objectives","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003695206,0.000643837,0.0005917219,0.0004695821,0.004542383,0.001821545,0.0009968976,0.001037758,0.003623487],"category_scores_gemma":[0.00756803,0.0006888647,0.0001890178,0.001200557,0.001307278,0.00128269,0.0007419133,0.0017304,0.0004590056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00324442,"about_ca_system_score_gemma":0.000623361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644977,"about_ca_topic_score_gemma":0.0005842006,"domain_scores_codex":[0.9929043,0.003680476,0.001002695,0.0007844683,0.0008314124,0.000796641],"domain_scores_gemma":[0.9952369,0.0006369316,0.0007085925,0.000624741,0.002274213,0.000518624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003654252,0.001577645,0.003947955,0.02378247,0.001300389,0.0003539913,0.4187007,0.01813339,0.02353364,0.1746561,0.02849524,0.3051531],"study_design_scores_gemma":[0.001484235,0.0004527809,0.07088102,0.003044294,0.0007076185,0.003140942,0.00904345,0.01064099,0.00224007,0.1218761,0.7749342,0.001554271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6846887,0.000742217,0.1512013,0.001124071,0.0002698734,0.001624886,0.002303886,0.002032172,0.1560128],"genre_scores_gemma":[0.9544184,0.002265897,0.02885076,0.0001062709,0.0004637784,7.190356e-7,0.008064241,0.002018464,0.003811429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.746439,"threshold_uncertainty_score":0.9995562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3229904733339166,"score_gpt":0.3415017773004295,"score_spread":0.0185113039665129,"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."}}