{"id":"W1506488712","doi":"10.1007/978-3-642-23599-3_2","title":"Intentional Modeling of Social Media Design Knowledge for Government-Citizen Communication","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Computer science; Government (linguistics); e-participation; Knowledge management; Data science; Politics; Management science; Political science; World Wide Web; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00216747,0.000204143,0.0003010326,0.0001300909,0.0005055738,0.0001162241,0.001615569,0.0002844496,0.0001587906],"category_scores_gemma":[0.0002385918,0.0002029406,0.0001261586,0.0001850556,0.0011258,0.0003137361,0.0003718305,0.0002587705,0.000006432401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183271,"about_ca_system_score_gemma":0.0005118251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291092,"about_ca_topic_score_gemma":0.002069003,"domain_scores_codex":[0.9977643,0.00008188547,0.0003776343,0.0004161068,0.001027828,0.0003322602],"domain_scores_gemma":[0.9977721,0.001197227,0.0003173118,0.0002805654,0.0003588356,0.00007394531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007428479,0.00009754004,0.00006397873,0.00008744446,0.00004541958,7.078322e-7,0.07143325,0.002377084,0.00004433926,0.6784163,0.0001771075,0.2471826],"study_design_scores_gemma":[0.0005294495,0.000085716,0.00005562218,0.0003880996,0.00004683928,7.406683e-7,0.0001072744,0.1970556,0.0002104173,0.7946622,0.006272686,0.0005852999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001014644,0.000422432,0.9465161,0.000594977,0.0007146188,0.000412566,0.00002869424,0.000032126,0.05117704],"genre_scores_gemma":[0.8879719,0.000185724,0.1092667,0.000300153,0.001073699,0.00003373143,0.00002904653,0.00003688033,0.001102197],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8878704,"threshold_uncertainty_score":0.8275676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07404708903168651,"score_gpt":0.2964963089098034,"score_spread":0.2224492198781169,"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."}}