{"id":"W4375940336","doi":"10.5281/zenodo.7909085","title":"Alliance Researcher Council Cloud Survey Report","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance","funders":"","keywords":"Alliance; Cloud computing; Survey research; Research council; Political science; Business; Business administration; Law; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01090248,0.0004605376,0.0006361927,0.007283118,0.004145295,0.003649363,0.001666333,0.001238223,0.04403791],"category_scores_gemma":[0.0291573,0.0006530274,0.000371277,0.01882211,0.0004268167,0.001590375,0.002380804,0.001245961,0.03676073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01371905,"about_ca_system_score_gemma":0.04772202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7582473,"about_ca_topic_score_gemma":0.7880511,"domain_scores_codex":[0.9789127,0.002340838,0.001596267,0.001165886,0.01331736,0.002666962],"domain_scores_gemma":[0.9269286,0.007766108,0.003477096,0.003923384,0.05013471,0.007770034],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000850026,0.0001939221,0.0416839,0.0001773141,0.0000116065,0.00005718801,0.001011286,0.0001143401,0.0001661031,0.00134025,0.933962,0.021197],"study_design_scores_gemma":[0.00004538332,0.00005847704,0.1497463,0.0001159029,0.00001324325,0.00007303436,0.004064616,0.0002484013,0.000345224,0.0002379486,0.8450179,0.00003357071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02724703,0.0006643736,0.001452783,0.008510947,0.0005358958,0.003106108,0.7502671,0.001011828,0.207204],"genre_scores_gemma":[0.08226666,0.002589863,0.007995808,0.004986661,0.0003906702,0.01123686,0.5627865,0.0006102578,0.3271368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9890975,"threshold_uncertainty_score":0.4863529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4906760291987072,"score_gpt":0.3927710087361684,"score_spread":0.09790502046253874,"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."}}