{"id":"W2969593549","doi":"","title":"Guides: Vancouver citation style (based on Citing Medicine): Social media","year":2011,"lang":"en","type":"libguides","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Social media; Citation; Media studies; Internet privacy; Sociology; Computer science; World Wide Web; Art; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004614202,0.0004094156,0.0004655467,0.0001786826,0.0001519305,0.00001739825,0.0004306083,0.001188876,0.0007472968],"category_scores_gemma":[0.002140587,0.000312665,0.0001836547,0.0001348326,0.000467311,0.000001681592,0.00009688933,0.0003444214,0.00003304859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003066597,"about_ca_system_score_gemma":0.0002012165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009683282,"about_ca_topic_score_gemma":0.000560373,"domain_scores_codex":[0.9978495,0.0001253612,0.0005055958,0.0006468922,0.0004631949,0.0004094664],"domain_scores_gemma":[0.9987838,0.0002277436,0.0003127085,0.000372493,0.0001861194,0.0001170964],"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":[0.00006643408,0.00003586189,0.00002006616,0.00007233138,0.00005708549,0.000007561649,0.0002298213,0.000001167636,0.0007754067,0.00007200672,0.9583951,0.04026714],"study_design_scores_gemma":[0.00104192,0.0006041877,0.0002303285,0.0002374217,0.00008729289,0.000001654522,0.001130373,0.00007460332,0.002379429,0.0004992083,0.9931588,0.0005547419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003882708,0.00335885,0.01426566,0.003187996,0.01508714,0.0007187075,0.0004591076,0.0005341594,0.9585057],"genre_scores_gemma":[0.4974535,0.002524293,0.06710763,0.05486281,0.08025459,0.0006091886,0.02978644,0.00111342,0.2662881],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6922175,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055945812572663,"score_gpt":0.292637874524762,"score_spread":0.2420784163990354,"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."}}