{"id":"W2321672445","doi":"10.1097/psn.0000000000000068","title":"The Power of Social Media","year":2014,"lang":"en","type":"letter","venue":"Plastic Surgical Nursing","topic":"Social Media and Politics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Work (physics); Social media; Media coverage; Political science; Public relations; Sociology; Engineering; Law; Media studies; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005759245,0.0003416774,0.0003966591,0.001161424,0.008341298,0.006737126,0.0009075147,0.01313816,0.01027719],"category_scores_gemma":[0.02345971,0.0003076803,0.0004024044,0.0007381745,0.01127534,0.009743403,0.003988598,0.01696459,0.00245852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00523191,"about_ca_system_score_gemma":0.004121561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351845,"about_ca_topic_score_gemma":0.01898295,"domain_scores_codex":[0.9936221,0.003690189,0.0001585612,0.0004277568,0.001473023,0.0006282573],"domain_scores_gemma":[0.9759474,0.01799438,0.001253965,0.0008053432,0.001484409,0.002514525],"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":[0.00004374365,0.00005223739,0.004452242,0.0001381142,0.00003812166,0.003585751,0.01510094,0.00006837775,0.0002726646,0.09613761,0.829425,0.05068516],"study_design_scores_gemma":[0.00003013951,0.00004564896,0.003306953,0.0008101861,0.0000166377,0.004693373,0.0234467,0.0002576053,0.0001662624,0.04438361,0.9227925,0.00005041125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00246849,0.002612664,0.0001157443,0.9696048,0.001333117,0.000004434149,0.00001377783,0.00001077074,0.02383614],"genre_scores_gemma":[0.1930375,0.01083127,0.0003117132,0.7611807,0.01131475,0.00004938889,0.00002929157,0.00005777749,0.02318753],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01351845,"threshold_uncertainty_score":0.03796041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029448785926108,"score_gpt":0.3162502797630235,"score_spread":0.2859557919037624,"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."}}