{"id":"W2625201678","doi":"10.1177/0899764017713724","title":"Speaking and Being Heard: How Nonprofit Advocacy Organizations Gain Attention on Social Media","year":2017,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"George Washington University","keywords":"Nonprofit organization; Public relations; Social media; Nonprofit sector; Test (biology); Joins; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002182472,0.0002171555,0.0003198348,0.00152491,0.0007297063,0.003811629,0.0006022623,0.001205794,0.005703046],"category_scores_gemma":[0.02087739,0.0002182,0.0003405737,0.001405594,0.001264111,0.005114149,0.001616876,0.001318558,0.0007819608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192295,"about_ca_system_score_gemma":0.0004695782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388599,"about_ca_topic_score_gemma":0.01279791,"domain_scores_codex":[0.9985794,0.0006623589,0.00004497606,0.0002195288,0.0001855504,0.0003081566],"domain_scores_gemma":[0.977456,0.01514597,0.004206167,0.0007158016,0.0009181153,0.001557906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003273485,0.000653127,0.9280064,0.0001157137,0.0001856852,0.0002777931,0.01675298,0.001448343,0.001577274,0.005106372,0.003291599,0.04225738],"study_design_scores_gemma":[0.00002712588,0.0001447203,0.9672719,0.00006245723,0.0000885709,0.0001117009,0.01699782,0.005778992,0.0005068663,0.005761377,0.003214366,0.00003422145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863473,0.0002264274,0.0004043213,0.002204698,0.00001393719,0.0000182709,0.0002037661,0.00001319314,0.01056803],"genre_scores_gemma":[0.9989906,0.00008836766,0.00007946869,0.0001663279,0.00001981204,0.000007298541,0.00008875084,0.000005514111,0.0005539163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388599,"threshold_uncertainty_score":0.0276103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232534792187143,"score_gpt":0.3012605901732637,"score_spread":0.2689352422513923,"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."}}