{"id":"W7106821182","doi":"10.1088/1742-6596/3140/16/162005","title":"Exploring legal frameworks for climate action: a network analysis of Green Deal, EU Directives, and environmental assessment indicators","year":2025,"lang":"","type":"article","venue":"Journal of Physics Conference Series","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Sustainability; Variety (cybernetics); Centrality; European union; Corporate governance; Policy analysis; Environmental governance; Climate change; Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.003700617,0.0002632313,0.0003287437,0.005462841,0.001312744,0.004237646,0.0006102139,0.0009252275,0.004451024],"category_scores_gemma":[0.02747325,0.0002204035,0.0006245265,0.007819606,0.001503966,0.004629815,0.001922925,0.001112331,0.0002597881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089613,"about_ca_system_score_gemma":0.001783677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02599325,"about_ca_topic_score_gemma":0.02742784,"domain_scores_codex":[0.9976493,0.001522211,0.0001081406,0.0002865538,0.0002759212,0.0001579441],"domain_scores_gemma":[0.9735339,0.02115223,0.002578513,0.0007402607,0.001355579,0.000639469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002555244,0.000209908,0.4091218,0.0005721518,0.0003973693,0.001027142,0.02180604,0.09543488,0.00134014,0.3916921,0.00957701,0.06856599],"study_design_scores_gemma":[0.00003960509,0.00008784745,0.2614025,0.0007769468,0.0002782053,0.0003790458,0.0453522,0.4037969,0.0007266998,0.2232525,0.06380655,0.000100852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263086,0.0009055821,0.04315969,0.003327582,0.00003386898,0.0001378141,0.003152541,0.00008578234,0.02288862],"genre_scores_gemma":[0.9838975,0.0003233196,0.01282444,0.00007216238,0.00001398818,0.00009294357,0.001999678,0.00002853246,0.0007474218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02599325,"threshold_uncertainty_score":0.0516839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04628372138158286,"score_gpt":0.2955619153729604,"score_spread":0.2492781939913776,"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."}}