{"id":"W4413133383","doi":"10.3390/en18154200","title":"Systems Thinking for Climate Change and Clean Energy","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Systems thinking; Causal loop diagram; Transformative learning; Leverage (statistics); Computer science; Climate change mitigation; Climate change; Process management; Risk analysis (engineering); Environmental resource management; Knowledge management; Environmental economics; System dynamics; Business; Economics; Ecology","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":[0.005457618,0.001114793,0.000725448,0.002890338,0.001829637,0.005374378,0.001211877,0.00252607,0.006868935],"category_scores_gemma":[0.004836933,0.0002831932,0.001070312,0.002431106,0.01311277,0.005719205,0.002986109,0.004411489,0.0006450855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006558323,"about_ca_system_score_gemma":0.006677965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165295,"about_ca_topic_score_gemma":0.005393907,"domain_scores_codex":[0.9962758,0.002587179,0.000126167,0.0003624572,0.000519741,0.0001287782],"domain_scores_gemma":[0.9963906,0.002590798,0.0002297586,0.0003186835,0.0002926932,0.0001774177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003735845,0.000006279233,0.0001429838,0.0001715766,0.00001659252,0.00002517081,0.0006514467,0.002608405,0.00007949895,0.9849747,0.001835705,0.009484001],"study_design_scores_gemma":[0.000003119269,0.000006900926,0.0001019551,0.0001786772,0.00000515287,0.00002244011,0.0003514592,0.00153065,0.00005159117,0.9634328,0.03430859,0.000006632094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01361559,0.1048661,0.5244844,0.09035859,0.002551084,0.0003019943,0.0004838879,0.0006968166,0.2626416],"genre_scores_gemma":[0.7018242,0.0742605,0.1997647,0.006876401,0.001698421,0.0008201509,0.0004606218,0.0001953049,0.01409965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006868935,"threshold_uncertainty_score":0.04758424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918778523684364,"score_gpt":0.2376884331822746,"score_spread":0.218500647945431,"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."}}