{"id":"W3006223058","doi":"","title":"LibGuides: Vancouver Referencing Style: Images, maps, tables, etc.","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Table (database); Computer science; Computer graphics (images); Computer vision; Artificial intelligence; Cartography; Information retrieval; Geography; Data mining; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003157537,0.000862276,0.001039167,0.0004836765,0.0006417571,0.0007327928,0.0007090734,0.0003274725,0.05339332],"category_scores_gemma":[0.0000982807,0.0006380651,0.000508338,0.00008621681,0.0005076274,0.0005805199,0.0003630616,0.0009070837,0.0008328195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009255025,"about_ca_system_score_gemma":0.000240123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01777787,"about_ca_topic_score_gemma":0.115609,"domain_scores_codex":[0.9967939,0.0000995653,0.0007878382,0.0008569401,0.0006206498,0.0008411445],"domain_scores_gemma":[0.9978498,0.0002543702,0.000447694,0.0008882031,0.0004424809,0.0001174544],"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":[0.00001420905,0.00005401799,0.000009897073,0.0006637974,0.0005032715,0.00004614421,0.02583902,5.367714e-7,0.000001584309,0.03327574,0.9366756,0.002916168],"study_design_scores_gemma":[0.0003892297,0.0001083448,0.000002950944,0.0005890213,0.0002218106,0.000002338606,0.02466386,0.000001843237,0.00002305727,0.001103178,0.9719514,0.0009429967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002827612,0.01948377,0.00001210337,0.0002587994,0.01241245,0.0005259283,0.002494636,0.0005461355,0.9642379],"genre_scores_gemma":[0.002068021,0.002529811,0.0003598342,0.003593908,0.008980441,0.00007117801,0.001525496,0.0001870259,0.9806843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09783116,"threshold_uncertainty_score":0.9999452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279049357004987,"score_gpt":0.2328720165940447,"score_spread":0.204967080893546,"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."}}