{"id":"W6948467062","doi":"10.5281/zenodo.10694454","title":"THE INTERNATIONAL NETWORK OF RESEARCH MANAGEMENT SOCIETIES","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Process (computing); Face (sociological concept); Presentation (obstetrics); Value (mathematics); Stakeholder engagement; Human resource management; Resource (disambiguation); Best practice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02154254,0.0001022371,0.0001262199,0.0003952048,0.004157985,0.00495872,0.005590901,0.00005428728,0.007193693],"category_scores_gemma":[0.003672897,0.00006777805,0.0001060353,0.003066641,0.00118862,0.0004721903,0.003803171,0.0006376228,0.01021837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698722,"about_ca_system_score_gemma":0.00001588264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006936965,"about_ca_topic_score_gemma":4.160761e-7,"domain_scores_codex":[0.9933535,0.0008345447,0.000503609,0.000594463,0.00409295,0.0006209639],"domain_scores_gemma":[0.996518,0.0008636512,0.00008205076,0.0006877016,0.001686172,0.0001624737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002333957,0.00001648383,0.000006248794,0.00001548237,0.00002926635,0.000009752799,0.0005698016,0.0001050717,0.0002872031,0.09273793,0.7146085,0.1915909],"study_design_scores_gemma":[0.00009467927,0.00006538007,0.0005134004,0.00005028627,0.000002779614,0.00001804106,0.002538688,0.002970408,0.000138417,0.04592254,0.9476149,0.00007050015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009068185,0.001485312,0.003658357,0.02040373,0.001163446,0.0006681274,0.00009282648,0.0004823548,0.9629776],"genre_scores_gemma":[0.9091823,0.002631714,0.0005036424,0.0001943839,0.0009865857,2.892262e-7,0.0001067454,0.0006227418,0.0857716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9001141,"threshold_uncertainty_score":0.9997894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529278408908438,"score_gpt":0.3976491328600996,"score_spread":0.2447212919692557,"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."}}