{"id":"W3007008050","doi":"","title":"Guides: Vancouver reference style (based on Citing Medicine): Multimedia formats","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":"Multimedia; Style (visual arts); Computer science; World Wide Web; Visual arts; Art","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":[0.002267814,0.002001887,0.001370754,0.01277661,0.001691182,0.00823136,0.003511444,0.002477142,0.5242897],"category_scores_gemma":[0.02217301,0.001690997,0.0008882178,0.02193891,0.000729745,0.006210135,0.002984318,0.002034006,0.4278588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301507,"about_ca_system_score_gemma":0.004828853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04620641,"about_ca_topic_score_gemma":0.08552556,"domain_scores_codex":[0.9982628,0.0002371646,0.0003620635,0.000216468,0.0008220476,0.00009945273],"domain_scores_gemma":[0.9840655,0.004036251,0.0005398621,0.0018504,0.008712576,0.0007953729],"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":[0.00003645591,0.00002016336,0.00009441942,0.0003447841,0.000006437252,0.0000339968,0.0001204659,0.0001798741,0.0002870678,0.004135821,0.9523951,0.04234529],"study_design_scores_gemma":[0.00001838607,0.000006142889,0.0002885525,0.0001507316,0.000007375293,0.00007340352,0.00006519983,0.0005413801,0.0007506975,0.002635972,0.9954388,0.00002344874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001246919,0.0006156202,0.08519428,0.002715196,0.001010624,0.0007266951,0.4458091,0.1204081,0.3422734],"genre_scores_gemma":[0.006377816,0.001596131,0.1187838,0.0008320394,0.0004360831,0.0008620162,0.429516,0.07891747,0.3626786],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9917687,"threshold_uncertainty_score":0.678543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842676215204576,"score_gpt":0.2962722900489126,"score_spread":0.2478455278968669,"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."}}