{"id":"W2096487060","doi":"10.1177/0270467611412552","title":"Public Health Ethics, Legitimacy, and the Challenges of Industrial Wind Turbines: The Case of Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Legitimacy; Public health; Government (linguistics); Proportionality (law); Political science; Precautionary principle; Law and economics; Wind power; Business; Public administration; Public relations; Law; Engineering; Sociology; Medicine; Politics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007091398,0.0000839565,0.0002272087,0.00006871609,0.00100407,0.00001329379,0.0008129559,0.0001684169,0.0002352743],"category_scores_gemma":[0.0006223695,0.00005175354,0.00006280655,0.0006079703,0.02245022,0.00004396944,0.000278083,0.0004589749,5.558337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551078,"about_ca_system_score_gemma":0.004901453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719097,"about_ca_topic_score_gemma":0.936708,"domain_scores_codex":[0.9985338,0.0001580263,0.0003151727,0.0002280736,0.0004405514,0.0003244078],"domain_scores_gemma":[0.9987978,0.0001828993,0.0003600163,0.000321023,0.0002721179,0.00006609407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001065307,0.00007340889,0.001125475,0.00002124324,0.00003285815,0.000003017451,0.4013158,8.994975e-7,0.00001307084,0.5678314,0.01476238,0.01480976],"study_design_scores_gemma":[0.0008860957,0.0001191094,0.002081197,0.00003786286,0.00001890183,0.00001671661,0.6576746,0.000005677967,0.00009346371,0.004199259,0.3347542,0.0001129742],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5572072,0.0007566682,0.00001229805,0.4265748,0.000249009,0.0006002198,0.000005272871,0.0000326503,0.01456187],"genre_scores_gemma":[0.9969273,0.001431973,0.0004933079,0.0008924791,0.00001906815,0.000009500744,1.215059e-7,0.000002998966,0.0002232946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5636322,"threshold_uncertainty_score":0.9802101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388263040783093,"score_gpt":0.3061043882724016,"score_spread":0.1672780841940923,"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."}}