{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005005662,0.0004265483,0.0004644286,0.0001805352,0.000107991,0.00001848236,0.0004289293,0.0009819584,0.000832314],"category_scores_gemma":[0.001958469,0.0003163423,0.00017056,0.0001277588,0.0003709399,0.000001684311,0.00009233813,0.0003122181,0.00004190678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002766356,"about_ca_system_score_gemma":0.0001918463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002484123,"about_ca_topic_score_gemma":0.0003713323,"domain_scores_codex":[0.9978735,0.0001302829,0.0005098647,0.0007155102,0.0003662482,0.0004045633],"domain_scores_gemma":[0.9985718,0.0001993859,0.0003043695,0.0006011252,0.000187435,0.0001359506],"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":[0.00007577948,0.00003866667,0.00005616579,0.0001052379,0.00007523545,0.00001080032,0.00005269289,0.000006768509,0.001439864,0.00006507486,0.9702697,0.02780405],"study_design_scores_gemma":[0.0009224868,0.001464831,0.00009056141,0.000399732,0.00006907307,0.000003019609,0.0004593664,0.0002019896,0.005368516,0.0002440354,0.9902654,0.0005110022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003028683,0.003484002,0.02093733,0.001683435,0.007379678,0.0007212272,0.0002078481,0.0003709939,0.9621868],"genre_scores_gemma":[0.3313751,0.002392641,0.05614237,0.05432832,0.01860167,0.0004543475,0.01236907,0.0006723369,0.5236641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4385227,"threshold_uncertainty_score":0.9999289,"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."}}