{"id":"W4361301306","doi":"10.1016/j.envsci.2023.03.004","title":"A research agenda for the science of actionable knowledge: Drawing from a review of the most misguided to the most enlightened claims in the science-policy interface literature","year":2023,"lang":"en","type":"review","venue":"Environmental Science & Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Global Change Institute, University of the Witwatersrand, Johannesburg; University of Toronto Scarborough; Social Sciences and Humanities Research Council of Canada; Office of Science; University of Toronto; U.S. Department of Energy","keywords":"Leverage (statistics); Construct (python library); Science policy; Centrality; Sociology of scientific knowledge; Intermediary; Corporate governance; Blueprint; Interface (matter); Set (abstract data type); Sociology; Knowledge management; Engineering ethics; Political science; Public relations; Computer science; Social science; Business; Public administration","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":[],"category_scores_codex":[0.07122118,0.001635864,0.003019557,0.0217768,0.00663534,0.02760357,0.005213407,0.0143079,0.00435094],"category_scores_gemma":[0.1002949,0.0009654729,0.001999447,0.01884736,0.04843233,0.05564053,0.01035239,0.01941176,0.001626481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457869,"about_ca_system_score_gemma":0.030588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005785842,"about_ca_topic_score_gemma":0.008173034,"domain_scores_codex":[0.9566634,0.02643636,0.003893211,0.004465982,0.007319653,0.001221426],"domain_scores_gemma":[0.7190185,0.2552341,0.006186863,0.006022866,0.01172596,0.001811611],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006972926,0.00007572635,0.00100791,0.01661399,0.0001038765,0.0003905268,0.02299464,0.0006884696,0.0003375192,0.825268,0.01912883,0.1133208],"study_design_scores_gemma":[0.00001991085,0.00006415541,0.0008425285,0.04974394,0.0001142913,0.0003639098,0.02046043,0.000671187,0.000353333,0.6460572,0.2812549,0.00005435476],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0025489,0.6392645,0.02471833,0.3144847,0.005401973,0.0001613445,0.0001131555,0.00006767423,0.01323955],"genre_scores_gemma":[0.1106759,0.7776588,0.03090156,0.06952456,0.007626363,0.001003427,0.0002272243,0.0001437715,0.002238421],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9287788,"threshold_uncertainty_score":0.3766581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09555330120299545,"score_gpt":0.4289147374259141,"score_spread":0.3333614362229187,"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."}}