{"id":"W3001497035","doi":"10.1016/j.mex.2020.100788","title":"A refined method for theory-based evaluation of the societal impacts of research","year":2020,"lang":"en","type":"article","venue":"MethodsX","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Outcome (game theory); Computer science; Management science; Process (computing); Context (archaeology); Theory of change; Conceptual framework; Accountability; Set (abstract data type); Causal inference; Inference; Data science; Process management; Artificial intelligence; Engineering; Epistemology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1713299,0.00007873886,0.0002743637,0.0001262528,0.000143228,0.00003466858,0.0006725971,0.00006617476,0.0008265149],"category_scores_gemma":[0.05286264,0.00004327988,0.0002460227,0.001532847,0.0001899631,0.0001104569,0.00009883787,0.0001548269,0.00001038386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037608,"about_ca_system_score_gemma":0.001202687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001346557,"about_ca_topic_score_gemma":0.000008579923,"domain_scores_codex":[0.9803027,0.01312704,0.0008158219,0.0003518805,0.005171434,0.0002311422],"domain_scores_gemma":[0.9826928,0.0129884,0.0004135284,0.0005481063,0.003284142,0.00007299244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008292786,0.0001652183,0.00361437,0.0001309789,0.00008636749,8.301232e-8,0.01090951,0.01166435,0.1611156,0.04725729,0.007976069,0.7562509],"study_design_scores_gemma":[0.0014338,0.0003153784,0.01257837,0.00002394487,0.00007164895,2.185041e-7,0.001683396,0.6136031,0.1902392,0.1746067,0.00537319,0.00007110483],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09431129,0.0001101082,0.885698,0.01490142,0.0002221632,0.001238834,0.00003940664,0.00001169117,0.003467113],"genre_scores_gemma":[0.5542464,0.000001320018,0.4447829,0.0006631228,0.00005424731,0.00006583238,0.000002273432,0.000007496623,0.0001763988],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7561797,"threshold_uncertainty_score":0.9551155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7776038699548516,"score_gpt":0.7385389506990288,"score_spread":0.03906491925582289,"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."}}