{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013161,0.001321712,0.0006859289,0.01286301,0.0012363,0.004410122,0.001287164,0.0009891541,0.1834213],"category_scores_gemma":[0.01185345,0.000782903,0.0005059253,0.01964704,0.0004341599,0.002423601,0.001634569,0.00088868,0.1013658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626674,"about_ca_system_score_gemma":0.004510454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07212339,"about_ca_topic_score_gemma":0.1778682,"domain_scores_codex":[0.9989311,0.0001157483,0.0001643858,0.0001503387,0.0005774528,0.00006101615],"domain_scores_gemma":[0.9917893,0.002281749,0.0004999703,0.0006690081,0.004090688,0.0006692308],"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":[0.00005545698,0.00003726452,0.0009212663,0.0005553901,0.00001618671,0.00003728389,0.0001769791,0.0002277277,0.0003048837,0.002326249,0.9250526,0.0702888],"study_design_scores_gemma":[0.00004627307,0.00001712419,0.004143298,0.0001864595,0.00002497083,0.00009357246,0.000132075,0.001755278,0.001602223,0.002817607,0.9891427,0.00003846202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006882707,0.001000093,0.02089025,0.002019846,0.0006093621,0.0005707202,0.7134048,0.07419911,0.1804231],"genre_scores_gemma":[0.02041174,0.001929813,0.08592063,0.0004450187,0.0003949773,0.0007930896,0.5263445,0.02591801,0.3378422],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9955899,"threshold_uncertainty_score":0.6136053,"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."}}