{"id":"W3092824759","doi":"","title":"LibGuides: References, citations and avoiding plagiarism: Vancouver referencing","year":2021,"lang":"en","type":"libguides","venue":"","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009319354,0.0004405357,0.0005994943,0.0003362795,0.001267177,0.001997764,0.0003817574,0.0006919312,0.005938529],"category_scores_gemma":[0.001281703,0.0003858969,0.0001200511,0.00008618009,0.0002140615,0.0008931158,0.0002533032,0.00275867,0.00003361974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008169068,"about_ca_system_score_gemma":0.0004294351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004826505,"about_ca_topic_score_gemma":0.02106147,"domain_scores_codex":[0.9974142,0.000210884,0.0007349144,0.000678197,0.0004734515,0.0004883752],"domain_scores_gemma":[0.997606,0.001130641,0.0003550556,0.0003183737,0.0004336502,0.0001562986],"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":[0.000001577881,0.00000827655,0.00002099102,0.0002237408,0.00006319406,0.00001280238,0.01486795,0.000001076617,0.000002428693,0.1058475,0.8764457,0.002504774],"study_design_scores_gemma":[0.0001362246,0.00002057732,0.000006863877,0.001043758,0.00009837899,0.00000889065,0.06462932,0.00005585085,0.00000762336,0.006227584,0.9272594,0.000505527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001171052,0.006900332,0.000113184,0.001400459,0.004730953,0.0001537524,0.000306318,0.0004230661,0.9848009],"genre_scores_gemma":[0.04036972,0.003139867,0.001784052,0.003138824,0.01108538,0.00004673057,0.00131806,0.0001443549,0.938973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09961996,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181726839991493,"score_gpt":0.2530545273667246,"score_spread":0.1912372589668097,"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."}}