{"id":"W4402481521","doi":"10.3390/environments11090199","title":"Climate Change Adaptation through Renewable Energy: The Cases of Australia, Canada, and the United Kingdom","year":2024,"lang":"en","type":"article","venue":"Environments","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Climate change; Diversification (marketing strategy); Environmental resource management; Natural resource economics; Greenhouse gas; Business; Adaptation (eye); Climate change mitigation; Psychological resilience; Energy policy; Resilience (materials science); Environmental planning; Environmental economics; Economics; Geography; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001568825,0.000154318,0.0001323907,0.00001613118,0.0002329184,0.00002245218,0.0001763193,0.0000345587,0.000230579],"category_scores_gemma":[0.00001164838,0.00008733733,0.00003205444,0.0001671277,0.0004956222,0.0001648888,0.0003097926,0.00006427064,0.0000151487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444118,"about_ca_system_score_gemma":0.000005017646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9386234,"about_ca_topic_score_gemma":0.6696373,"domain_scores_codex":[0.9988258,0.0001098808,0.0001870916,0.0002519447,0.0003576267,0.0002676863],"domain_scores_gemma":[0.9994866,0.0001666964,0.00006723093,0.0002445577,0.000001081284,0.00003389695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001836643,0.001204175,0.09374909,0.0006096636,0.003042096,0.001722661,0.08967366,0.1907779,0.03067534,0.34545,0.1916973,0.04956157],"study_design_scores_gemma":[0.00226616,0.0003296349,0.1434929,0.0002848764,0.0005329928,0.0001130868,0.003179187,0.0166804,0.02456453,0.04012312,0.7673638,0.001069304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820017,0.001608674,0.0005062848,0.003944844,0.0007019646,0.0005045012,0.0002768733,0.00005100812,0.01040416],"genre_scores_gemma":[0.9969082,0.0002478262,0.00006032844,0.0003946896,0.00004724126,0.00007214169,0.00001716799,0.00001638226,0.002236018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5756665,"threshold_uncertainty_score":0.3561513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678489948052852,"score_gpt":0.2464723715901786,"score_spread":0.1786233767848934,"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."}}