{"id":"W4413381083","doi":"10.1038/s41893-025-01612-x","title":"Supporting researchers’ engagement in international science–policy bodies","year":2025,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Science policy; Political science; Engineering ethics; Sociology; Public administration; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1939605,0.0008945559,0.00109321,0.006421822,0.01696122,0.0379096,0.004486706,0.01869172,0.04513404],"category_scores_gemma":[0.3358681,0.001242592,0.001241297,0.0060986,0.01304739,0.02696482,0.06317015,0.01381211,0.006785869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009951976,"about_ca_system_score_gemma":0.08420939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209217,"about_ca_topic_score_gemma":0.004294596,"domain_scores_codex":[0.7673413,0.1888255,0.006706158,0.005826406,0.01532101,0.01597967],"domain_scores_gemma":[0.4146256,0.4085371,0.02511002,0.03979306,0.0428559,0.06907829],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006477307,0.00171586,0.02845904,0.001988955,0.0003854761,0.001026914,0.1017138,0.001955006,0.004421394,0.4360155,0.115132,0.3065382],"study_design_scores_gemma":[0.0002884608,0.0003098967,0.008262175,0.002290532,0.0001148524,0.000186061,0.09967488,0.001620893,0.002722072,0.3188869,0.5655423,0.0001009802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07152186,0.003602734,0.03966589,0.5598875,0.005741468,0.001061844,0.0002886299,0.0004396483,0.3177904],"genre_scores_gemma":[0.8969617,0.003022873,0.02590148,0.03770233,0.001901618,0.00230911,0.0004253548,0.0002540057,0.0315215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8060395,"threshold_uncertainty_score":0.9939902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06190304756836089,"score_gpt":0.5561328184143897,"score_spread":0.4942297708460288,"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."}}