{"id":"W3038790593","doi":"","title":"Subject Guides: Vancouver - Referencing Guide: Electronic Documents","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Computer science; History; 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":[0.002812461,0.001674898,0.001687315,0.01081762,0.006291058,0.01461161,0.002360449,0.003289494,0.5750647],"category_scores_gemma":[0.01115539,0.001336669,0.0006295866,0.01731039,0.001674702,0.004572948,0.00317482,0.002844269,0.5390123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005882711,"about_ca_system_score_gemma":0.02357582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1696116,"about_ca_topic_score_gemma":0.3499226,"domain_scores_codex":[0.9971616,0.0003135819,0.0002390727,0.0001838731,0.001854545,0.0002473828],"domain_scores_gemma":[0.9892424,0.001235041,0.0002703776,0.000772732,0.007696105,0.000783379],"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":[0.0000118352,0.00001851967,0.00009894121,0.0001966737,0.000001243321,0.00002399713,0.0001252448,0.00006914188,0.0001244758,0.00306792,0.9373608,0.05890121],"study_design_scores_gemma":[0.000003264217,0.00000497273,0.0003226767,0.0001732472,0.000001336581,0.00002459133,0.0001264572,0.00004598605,0.0001497315,0.0006591037,0.9984817,0.000006956827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004673636,0.001778716,0.002657929,0.00185106,0.001261017,0.0005178666,0.02103652,0.003344818,0.9670848],"genre_scores_gemma":[0.0007602375,0.001266379,0.001652752,0.00020593,0.00007849672,0.0001677155,0.008864633,0.001323786,0.9856801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9853884,"threshold_uncertainty_score":0.6061186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852381400149474,"score_gpt":0.2554874355205851,"score_spread":0.2169636215190903,"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."}}