{"id":"W2486012897","doi":"10.3390/su8080713","title":"Wind Power Deployment: The Role of Public Participation in the Decision-Making Process in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Sustainability","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Software deployment; Process (computing); Public participation; Wind power; Power (physics); NIMBY; Decision-making; Environmental planning; Environmental economics; Business; Environmental resource management; Engineering; Environmental science; Public administration; Political science; Computer science; Marketing; Civil engineering; Economics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002481083,0.00007659604,0.0001240433,0.00004181009,0.0002333019,0.00004048696,0.0005098151,0.00006011667,0.0002353873],"category_scores_gemma":[0.00692659,0.00004126899,0.00003196549,0.0006230454,0.0002830201,0.0003057803,0.00004326022,0.0001024574,2.469343e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00398367,"about_ca_system_score_gemma":0.006832081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823439,"about_ca_topic_score_gemma":0.9998917,"domain_scores_codex":[0.9979666,0.0005370203,0.0002722991,0.0001929646,0.0006062326,0.000424907],"domain_scores_gemma":[0.9980491,0.001139632,0.000113379,0.0002576923,0.0004012708,0.00003888986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000187255,0.00007373832,0.8897505,0.000003132029,0.00000255839,0.00000220485,0.02900832,0.0001532016,0.00000156806,0.01345645,0.00003252635,0.06749708],"study_design_scores_gemma":[0.0001220315,0.0000105458,0.6754698,0.00001613797,0.000002049288,4.945929e-8,0.1324646,0.000003923174,0.00001932398,0.1853586,0.006473534,0.00005949703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911859,0.00006337862,0.00002163823,0.004725345,0.00008260617,0.0004098115,8.516384e-7,0.000008019527,0.003502437],"genre_scores_gemma":[0.999755,0.000002193091,0.000007367227,0.00008308765,0.00002355812,0.00006537646,1.930599e-7,0.000004672957,0.00005850986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142808,"threshold_uncertainty_score":0.9998398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103934847074891,"score_gpt":0.3046354087262098,"score_spread":0.2935960602554609,"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."}}