{"id":"W3165235572","doi":"","title":"LibGuides: VANCOUVER CITATION STYLE (UWISTA): SCIENTIFIC REPORT","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Library Science and Information","field":"Computer Science","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":[0.001637544,0.002932746,0.00320898,0.01984603,0.005018535,0.01856264,0.002525573,0.004714853,0.7999804],"category_scores_gemma":[0.00968699,0.001400598,0.001349786,0.03646548,0.001244743,0.004095187,0.003118927,0.003153951,0.7384775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01075016,"about_ca_system_score_gemma":0.02060027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1875095,"about_ca_topic_score_gemma":0.2253036,"domain_scores_codex":[0.9970446,0.0001237947,0.0002191638,0.0002881222,0.002061973,0.0002623177],"domain_scores_gemma":[0.9866624,0.0005735816,0.0004194062,0.0007156129,0.009956989,0.001671954],"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":[0.00002079514,0.00001440137,0.00006179222,0.0001723307,0.000003850455,0.000007723633,0.00000556123,0.00002757151,0.00002471301,0.0003073222,0.9861506,0.01320334],"study_design_scores_gemma":[0.00003096036,0.00002876316,0.002422917,0.0007247051,0.00001473504,0.00002151523,0.0000820989,0.000147541,0.0002384715,0.000909175,0.9953543,0.00002473428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005883149,0.007088823,0.000309927,0.005371855,0.01641474,0.0003314674,0.08827083,0.002952686,0.8786713],"genre_scores_gemma":[0.001129271,0.004086866,0.0002054863,0.0002710291,0.001111742,0.0001241071,0.01659982,0.0007479964,0.9757236],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9814374,"threshold_uncertainty_score":0.3728361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045015174450706,"score_gpt":0.2392475358482867,"score_spread":0.2187973841037796,"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."}}