{"id":"W3040292752","doi":"","title":"Subject Guides: Vancouver - Referencing Guide: Journal Articles","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Computer science; Data science; World Wide Web","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":[0.002406965,0.002199738,0.002336208,0.02003818,0.003356133,0.01352257,0.002525617,0.002982956,0.6759009],"category_scores_gemma":[0.01851748,0.00113952,0.0009128603,0.01692552,0.0009892404,0.004877956,0.002939222,0.002320011,0.6616691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00375946,"about_ca_system_score_gemma":0.0106088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143313,"about_ca_topic_score_gemma":0.06429998,"domain_scores_codex":[0.9968166,0.0002750359,0.0003308619,0.0003183873,0.001986768,0.0002724647],"domain_scores_gemma":[0.9712031,0.002134205,0.001158069,0.001155956,0.02105514,0.003293411],"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":[0.00001093007,0.0000139268,0.00005264196,0.0001875788,0.000001224377,0.00001048999,0.00001240139,0.00002673756,0.00006420756,0.0005554119,0.9742919,0.02477265],"study_design_scores_gemma":[0.000008140994,0.000008863824,0.000471737,0.0002861691,0.000002199668,0.00002835269,0.00004814219,0.00004931347,0.0001104407,0.0007623556,0.9982157,0.000008584348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004989189,0.005940951,0.002024142,0.005649323,0.01642986,0.001033277,0.04455255,0.005735716,0.9181353],"genre_scores_gemma":[0.0007466234,0.002621591,0.001839228,0.0008067855,0.001686132,0.0002932977,0.01569381,0.001737995,0.9745745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9864774,"threshold_uncertainty_score":0.462288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661507053407686,"score_gpt":0.2331326714023204,"score_spread":0.1669819660615518,"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."}}