{"id":"W4383873947","doi":"10.3167/reco.2023.130201","title":"Policy innovation through local, sustainable development evaluation","year":2023,"lang":"en","type":"article","venue":"Regions & Cohesion","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pledge; Summit; Operationalization; Earth Summit; Biodiversity; Politics; Sustainable development; Political science; Environmental planning; Climate change; Geography; Environmental protection; Environmental resource management; Public administration; Law; Environmental science; Physical geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2370334,0.001169578,0.002148098,0.007305312,0.006668385,0.01901441,0.006025654,0.003792295,0.04749695],"category_scores_gemma":[0.2344294,0.0008617102,0.001371137,0.01065301,0.008272083,0.01880344,0.01927423,0.006115694,0.004534248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03529092,"about_ca_system_score_gemma":0.08620948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642232,"about_ca_topic_score_gemma":0.02350916,"domain_scores_codex":[0.7560292,0.2037862,0.006243787,0.006267752,0.02000273,0.007670213],"domain_scores_gemma":[0.7902347,0.1148605,0.007668828,0.0242825,0.05313902,0.009814372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007366452,0.002807901,0.01028341,0.004518024,0.000397013,0.0002054895,0.01242702,0.01108395,0.000317507,0.3816972,0.09023763,0.4852882],"study_design_scores_gemma":[0.001649455,0.002691081,0.01208967,0.01310494,0.0006585611,0.0001191159,0.06876414,0.02146582,0.002931987,0.3171676,0.5590555,0.0003021346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05583102,0.003164337,0.1015381,0.07370777,0.001651113,0.02392628,0.004447562,0.00178585,0.7339479],"genre_scores_gemma":[0.7004495,0.003661759,0.1949458,0.016211,0.0004166246,0.038515,0.002966633,0.0009708992,0.04186279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2370334,"threshold_uncertainty_score":0.9408737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535377403154564,"score_gpt":0.3424917487397376,"score_spread":0.297137974708192,"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."}}