{"id":"W2027926312","doi":"10.1145/2468356.2479642","title":"Designing social media for change","year":2013,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ayogo (Canada); University of British Columbia","funders":"","keywords":"Social media; Mechanism (biology); Action (physics); Sustainability; Social change; Collective action; Social learning; Sociology; Public relations; Political science; Computer science; Knowledge management; Ecology; World Wide Web; Epistemology","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":[0.00009764494,0.00005593951,0.00006162805,0.0001049532,0.0001204184,0.00006257375,0.000321061,0.00006200262,0.0001103394],"category_scores_gemma":[0.00005527854,0.00004946394,0.0000220506,0.0001643754,0.00002826675,0.0007612962,0.00007629723,0.00007233784,0.0002753455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029372,"about_ca_system_score_gemma":0.000007709206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001115638,"about_ca_topic_score_gemma":0.000009103342,"domain_scores_codex":[0.9995233,0.00001107031,0.00009024276,0.0001487628,0.0000656612,0.0001609554],"domain_scores_gemma":[0.9995635,0.0001009312,0.00004537107,0.000108038,0.0001717238,0.0000104294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000121207,0.00002058276,0.00006268639,0.000004411093,0.00001062313,6.650796e-7,0.00320197,4.721037e-8,0.0230448,0.8142818,0.02897195,0.1303993],"study_design_scores_gemma":[0.001422237,0.0003111687,0.02045222,0.00002728915,0.00001042892,0.00002766704,0.001558249,0.04016736,0.4973953,0.4103155,0.02740906,0.0009034829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01143783,0.000003803213,0.9797609,0.004534342,0.0005078943,0.0002738302,2.782177e-7,0.0003268022,0.003154255],"genre_scores_gemma":[0.8264434,2.33242e-7,0.1716056,0.001039176,0.000251475,0.0003824256,0.000001578875,0.000005253955,0.000270826],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8150056,"threshold_uncertainty_score":0.3539101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123337244650673,"score_gpt":0.3139519442414021,"score_spread":0.2016182197763348,"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."}}