{"id":"W4287126756","doi":"10.5281/zenodo.4892718","title":"Sondage sur la capacité des services institutionnels de gestion de données de recherche Rapport INSIGHTS no3 Avenir du soutien à la GDR pour les établissements : ressources priorisées, investissements, défis et accélérateurs","year":2021,"lang":"fr","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University; University of Toronto; University of Guelph; Queen's University","funders":"","keywords":"Political science","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":[0.03661538,0.001243022,0.001082878,0.005964282,0.003016964,0.01978621,0.002416849,0.003054266,0.02896428],"category_scores_gemma":[0.08610106,0.0009525543,0.001643783,0.007673859,0.004011491,0.01418948,0.0105378,0.002818218,0.007266076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084057,"about_ca_system_score_gemma":0.01554383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03995171,"about_ca_topic_score_gemma":0.02753301,"domain_scores_codex":[0.9466738,0.0268933,0.001927686,0.003935927,0.01783503,0.002734333],"domain_scores_gemma":[0.8676445,0.08053879,0.004908436,0.01254479,0.02959132,0.004772231],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001272969,0.0004211302,0.05232648,0.002698012,0.0005264389,0.0008175237,0.02899488,0.01841122,0.01470996,0.2132689,0.03772011,0.6288323],"study_design_scores_gemma":[0.0001222837,0.0007501292,0.05889935,0.003319652,0.000482417,0.001828655,0.0460692,0.09792595,0.03540787,0.1050065,0.6497189,0.0004690971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3416075,0.01604142,0.247988,0.07553416,0.0004750563,0.0008872228,0.004110346,0.004384277,0.3089719],"genre_scores_gemma":[0.8271227,0.007979221,0.1032485,0.001542647,0.0002153588,0.000462479,0.002215173,0.001425823,0.05578801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9891594,"threshold_uncertainty_score":0.1936429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4413467576443481,"score_gpt":0.3348468420642154,"score_spread":0.1064999155801327,"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."}}