{"id":"W1819303872","doi":"10.5864/d2014-010","title":"Creating and testing a survey to assess the impact of renewable energy technologies on quality of life","year":2013,"lang":"en","type":"article","venue":"Environmental Health Review","topic":"Noise Effects and Management","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Wind power; Context (archaeology); Environmental health; Population; Fossil fuel; Environmental science; Medicine; Engineering; Geography; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.04999541,0.0005884736,0.0009066163,0.00356716,0.001192685,0.001000991,0.001236438,0.0008510622,0.003408894],"category_scores_gemma":[0.03937726,0.0006515333,0.001513053,0.002822526,0.0007233632,0.001250498,0.001285362,0.0009396242,0.001597411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00315753,"about_ca_system_score_gemma":0.01154371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02840234,"about_ca_topic_score_gemma":0.04176582,"domain_scores_codex":[0.9742247,0.01502504,0.004233237,0.0008664801,0.004436416,0.001214111],"domain_scores_gemma":[0.964576,0.01123536,0.003856306,0.001686184,0.01755987,0.001086269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007322372,0.007963181,0.6575734,0.003396552,0.0003271358,0.0003052676,0.01347855,0.0009944764,0.00286843,0.001146979,0.01004439,0.3011694],"study_design_scores_gemma":[0.0009803061,0.02032618,0.90859,0.001438317,0.0003546444,0.0003797782,0.02578115,0.003071781,0.00312171,0.0006133353,0.0352133,0.00012949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8655295,0.001674663,0.01843696,0.001734156,0.0003457856,0.08288412,0.004812334,0.0002777698,0.02430483],"genre_scores_gemma":[0.7835882,0.004808822,0.1029091,0.001600258,0.0002087511,0.09448939,0.006317932,0.00004776617,0.006029782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04999541,"threshold_uncertainty_score":0.2644041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2179058006806856,"score_gpt":0.478661210192121,"score_spread":0.2607554095114354,"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."}}