{"id":"W3039376085","doi":"10.1093/reseval/rvaa006","title":"DARE to be different? A novel approach for analysing diversity in collaborative research projects","year":2020,"lang":"en","type":"article","venue":"Research Evaluation","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Medical Research Council","keywords":"Operationalization; Diversity (politics); Group cohesiveness; Narrative; Knowledge management; Sociology; Management science; Computer science; Data science; Psychology; Engineering; Epistemology; Social psychology","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":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05380251,0.000163498,0.000365002,0.002200778,0.001715567,0.000975707,0.001351436,0.0001302851,0.0001753488],"category_scores_gemma":[0.04805858,0.0001294718,0.00008735595,0.01587316,0.0002179672,0.0007960243,0.002132015,0.000713591,0.00008470623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027048,"about_ca_system_score_gemma":0.001672216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007655532,"about_ca_topic_score_gemma":0.001215685,"domain_scores_codex":[0.9784812,0.005063051,0.0006090066,0.001280776,0.0135266,0.001039363],"domain_scores_gemma":[0.9781947,0.003318219,0.0000951456,0.0005952478,0.01728381,0.0005128651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02295401,0.00387774,0.04263389,0.0003703299,0.000292045,0.00003244375,0.295056,0.05485637,0.1754606,0.01386146,0.3089598,0.0816453],"study_design_scores_gemma":[0.002225647,0.002146329,0.01826056,0.00003734597,0.00001116191,5.077826e-7,0.09989588,0.8664768,0.003161305,0.006172547,0.00138075,0.000231211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158205,0.00008189539,0.03208384,0.03626716,0.00006264957,0.008745035,0.0002046844,0.00002720176,0.006706986],"genre_scores_gemma":[0.9956924,0.000003554557,0.002126942,0.0001214485,0.0002393592,0.00105869,0.0001100859,0.00001575407,0.0006317669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8116204,"threshold_uncertainty_score":0.9995841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8454706926792013,"score_gpt":0.6348000941306084,"score_spread":0.2106705985485928,"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."}}