{"id":"W3036813586","doi":"","title":"Guides: Vancouver citation style (based on Citing Medicine): JBI Connect","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":"Citation; Style (visual arts); History; Library science; Computer science; Archaeology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002495232,0.001931324,0.001995639,0.02184501,0.002857751,0.009897405,0.002495075,0.00179764,0.6618533],"category_scores_gemma":[0.02905116,0.001339842,0.0008373911,0.03821777,0.0007588707,0.004866688,0.002938746,0.002312748,0.5726894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595973,"about_ca_system_score_gemma":0.008280756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05023857,"about_ca_topic_score_gemma":0.146262,"domain_scores_codex":[0.9979208,0.0002045724,0.0004056758,0.0003213153,0.001014336,0.0001332221],"domain_scores_gemma":[0.976448,0.004003086,0.0009459947,0.001804147,0.01461669,0.002182154],"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":[0.00001355726,0.000008129452,0.00008292326,0.0002006247,0.00000381954,0.000008946578,0.00003709279,0.00002881971,0.00006592236,0.000765755,0.9828675,0.01591684],"study_design_scores_gemma":[0.0000165235,0.000006211678,0.0007678674,0.0002103745,0.000009023607,0.00003528935,0.00006832857,0.00018496,0.0002597989,0.0014295,0.9969949,0.00001716986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001107135,0.001111746,0.008783251,0.003936721,0.003840807,0.0005104458,0.3960847,0.03663016,0.547995],"genre_scores_gemma":[0.00409361,0.002245483,0.02641478,0.0007492708,0.0008709293,0.0005812682,0.2405232,0.02717136,0.6973501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9901026,"threshold_uncertainty_score":0.4823252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576146337450676,"score_gpt":0.2900968693825832,"score_spread":0.2543354060080764,"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."}}