{"id":"W2344564231","doi":"10.15353/joci.v12i1.3208","title":"ICT and Online Social Movements for Good Governance in Nigeria","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource mobilization; Social movement; Corporate governance; Information and Communications Technology; The Internet; Government (linguistics); Social media; Political science; E-governance; Mobilization; Public relations; State (computer science); Resource (disambiguation); Public administration; Sociology; Economics; Law; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212881,0.000161743,0.0001098844,0.001237118,0.003653932,0.005658293,0.0002065451,0.0008517604,0.003793486],"category_scores_gemma":[0.002203263,0.0001610936,0.0001176348,0.001400336,0.005452015,0.003335071,0.002613766,0.00106062,0.0001840413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003104381,"about_ca_system_score_gemma":0.003889363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00472081,"about_ca_topic_score_gemma":0.01142698,"domain_scores_codex":[0.9989015,0.0005867452,0.000042312,0.00007405499,0.00009889712,0.0002964582],"domain_scores_gemma":[0.9981872,0.0007271252,0.0005857665,0.00005401253,0.00009472156,0.0003510741],"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":[0.0001148833,0.0003519134,0.1311521,0.0002515717,0.00001518284,0.00279939,0.1118312,0.00115205,0.001332187,0.6521476,0.002551291,0.09630059],"study_design_scores_gemma":[0.00004116126,0.0001879168,0.2043908,0.001812219,0.00003893226,0.001041617,0.5364062,0.003350361,0.001556314,0.092713,0.158409,0.00005235097],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312328,0.001407327,0.001464389,0.007933652,0.00008779809,0.00006731823,0.00001948381,0.000009521566,0.1577778],"genre_scores_gemma":[0.9975303,0.0003707568,0.0001701257,0.00008477271,0.000006253887,0.000007316271,0.000003043169,0.000001674985,0.001825765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005658293,"threshold_uncertainty_score":0.022524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04907913742956158,"score_gpt":0.3504721568717949,"score_spread":0.3013930194422333,"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."}}