{"id":"W3118861239","doi":"","title":"University Library: AMA Referencing (Vancouver): AMA Basics","year":2019,"lang":"en","type":"article","venue":"","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.00004228522,0.0001014303,0.0001132047,0.00007699899,0.00006680392,0.0001531301,0.00116625,0.00005474562,0.0008469328],"category_scores_gemma":[0.000001075964,0.00009079609,0.00004567171,0.0004168089,0.00001010905,0.004259966,0.0005775371,0.00009995446,0.0006432577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176945,"about_ca_system_score_gemma":0.0001087155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005597604,"about_ca_topic_score_gemma":0.00009977648,"domain_scores_codex":[0.9992061,0.00004136742,0.0000847975,0.0003135717,0.0001473279,0.0002068874],"domain_scores_gemma":[0.9992698,0.00005216323,0.00004469336,0.0005268196,0.00001313575,0.00009343287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001098459,0.00004535574,0.05124711,0.0000411327,0.0000211385,0.00005037431,0.0006107011,0.00007344996,0.0001460331,0.8652607,0.07462674,0.007866244],"study_design_scores_gemma":[0.0005664141,0.0001174073,0.03568589,0.00002979835,0.000004214688,0.000003358888,0.0006128022,0.02254465,0.003138409,0.008628622,0.9282831,0.000385312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3680887,0.00001496003,0.008368952,0.001517086,0.0007168259,0.0001026288,0.000002410112,0.0006607139,0.6205277],"genre_scores_gemma":[0.8958943,0.00001316712,0.0253124,0.00179029,0.00005628995,1.491081e-7,0.000003310638,0.000008415282,0.07692172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8566321,"threshold_uncertainty_score":0.927332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004081469094988661,"score_gpt":0.1435401201303716,"score_spread":0.1394586510353829,"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."}}