{"id":"W2179962732","doi":"10.1093/reseval/rvv025","title":"Defining and assessing research quality in a transdisciplinary context","year":2015,"lang":"en","type":"article","venue":"Research Evaluation","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":267,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Centre for International Forestry Research; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Rubric; Credibility; Quality (philosophy); Management science; Context (archaeology); Stakeholder; Relevance (law); Reflexivity; Computer science; Social research; Engineering ethics; Knowledge management; Sociology; Political science; Social science; Public relations; Epistemology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7561868,0.00204119,0.008295862,0.04310484,0.00859761,0.0279047,0.006064712,0.007931568,0.001813485],"category_scores_gemma":[0.8233669,0.0027895,0.005905387,0.02705839,0.02849083,0.02598244,0.02265928,0.008003517,0.0004532412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02374407,"about_ca_system_score_gemma":0.06400216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004887708,"about_ca_topic_score_gemma":0.005349108,"domain_scores_codex":[0.1431008,0.5745746,0.190019,0.01329142,0.07624681,0.002767426],"domain_scores_gemma":[0.05611091,0.7154438,0.07681806,0.04053922,0.1075652,0.003522704],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009001895,0.0004769353,0.04682099,0.1120565,0.004766859,0.000855321,0.1484458,0.004119695,0.004316918,0.2223458,0.009119057,0.445776],"study_design_scores_gemma":[0.001241783,0.002030333,0.04387915,0.1698131,0.005426832,0.001576017,0.08613808,0.01187424,0.008379014,0.5324482,0.1356374,0.001555792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08733086,0.09851503,0.6325431,0.1099837,0.003971222,0.03273666,0.001345223,0.0006741027,0.03290008],"genre_scores_gemma":[0.3136875,0.01634929,0.6325994,0.006981153,0.000864347,0.02815788,0.0005105034,0.0001538032,0.0006960893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2438132,"threshold_uncertainty_score":0.3006651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8503872670441657,"score_gpt":0.7265575859595685,"score_spread":0.1238296810845971,"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."}}