{"id":"W2107719182","doi":"","title":"EMPOWERMENT: FROM NOISE TO VOICE","year":2010,"lang":"en","type":"article","venue":"Human Development Resource Network (HDRNet)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Empowerment; Wright; Politics; Public relations; Citizen journalism; State (computer science); Corporate governance; Sociology; Political science; Democracy; Public administration; Management; Economics; Engineering; Law","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001082809,0.0002328058,0.0002513349,0.00004914196,0.002043649,0.0003014003,0.0009999885,0.0001985061,0.002019076],"category_scores_gemma":[0.000129662,0.000233987,0.00008038704,0.0007174196,0.0002715349,0.0001596567,0.0002314014,0.0003760149,0.0007994042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742594,"about_ca_system_score_gemma":0.0003332234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007770777,"about_ca_topic_score_gemma":0.0953987,"domain_scores_codex":[0.996887,0.0001202077,0.0003852767,0.0005908298,0.001031891,0.0009847501],"domain_scores_gemma":[0.9986978,0.0001496436,0.0001891119,0.0003346138,0.00007644324,0.0005524026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001320738,0.00004391477,0.0358131,0.000001588176,0.00001687074,0.000007151118,0.03734998,0.00006549208,0.00003436863,0.005395452,0.9110551,0.01020373],"study_design_scores_gemma":[0.0001823083,0.00001847337,0.2145548,0.00002657158,0.000005405464,1.743337e-7,0.00121283,0.00000397595,0.00003682055,0.001035594,0.7826345,0.0002885079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992983,0.00005877534,0.000006154693,0.0002451879,0.00003208718,0.0002541319,5.844544e-8,0.0001185745,0.3999867],"genre_scores_gemma":[0.9268238,0.000009890224,0.0007255256,0.002061558,0.003307977,0.00006115905,0.00001426789,0.00002799589,0.06696783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3330189,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864117497941455,"score_gpt":0.2894095634437682,"score_spread":0.2707683884643537,"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."}}