{"id":"W6927132037","doi":"10.26226/morressier.5c7e3e2229d813000cb42290","title":"More stakeholders with fewer issues instead of fewer issues with more stakeholders","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Alliance; Quality (philosophy); Representation (politics); Politics; Quality of life (healthcare); Health care; Stakeholder","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004231173,0.001225181,0.001439077,0.003655854,0.0003522457,0.002121413,0.005699481,0.001030619,0.003821428],"category_scores_gemma":[0.00007628238,0.0009264959,0.0002722281,0.002595441,0.002735491,0.0008512139,0.003050985,0.000995547,0.0001114061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675682,"about_ca_system_score_gemma":0.001817619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963892,"about_ca_topic_score_gemma":0.0003590173,"domain_scores_codex":[0.99362,0.0005133903,0.0006259569,0.002107658,0.001566364,0.001566604],"domain_scores_gemma":[0.9939988,0.00005864137,0.0007445208,0.004272511,0.0001951534,0.0007304148],"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":[0.002075762,0.0004050797,0.006527964,0.0006468181,0.00102855,0.0004950733,0.0001767716,0.000002567397,0.002084059,0.0002804646,0.9834512,0.00282573],"study_design_scores_gemma":[0.002352142,0.002068873,0.002215462,0.001214253,0.0000753176,0.00003442937,0.0006926963,0.000001344863,0.03386046,0.0000530172,0.9561796,0.001252461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03074689,0.02099382,0.00001817979,0.005373673,0.000394115,0.004396387,0.003787947,0.0004129561,0.933876],"genre_scores_gemma":[0.01088521,0.01124478,0.003531945,0.0006476776,0.00110222,0.0003534276,0.01068269,0.002034775,0.9595173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0317764,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164471802379878,"score_gpt":0.3521343025817633,"score_spread":0.2356871223437755,"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."}}