{"id":"W2948132885","doi":"","title":"LibGuides: RGU Vancouver Referencing: Company Reports or Accounts","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History","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","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0009608831,0.0005777684,0.0008952694,0.0005746749,0.0002079734,0.002031723,0.003890462,0.0004442182,0.00186295],"category_scores_gemma":[0.0001427189,0.0003770754,0.0002330333,0.0008784259,0.00008416481,0.01479215,0.001198563,0.000478341,0.002745764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364491,"about_ca_system_score_gemma":0.002414001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166119,"about_ca_topic_score_gemma":0.0002058811,"domain_scores_codex":[0.9946085,0.00008401556,0.001849051,0.001061835,0.001667811,0.0007287652],"domain_scores_gemma":[0.9948373,0.000195223,0.001426118,0.002868048,0.0004164167,0.000256885],"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":[0.000002656477,0.00001491686,0.00009013766,0.000132454,0.00002542286,0.00007303536,0.001587694,0.00002056495,0.000002564514,0.001177441,0.9948001,0.002073036],"study_design_scores_gemma":[0.0001510327,0.00009768996,0.00006294693,0.0002818715,0.00000400087,0.0001718992,0.0005935805,0.004236653,0.00009638962,0.0003440964,0.993316,0.0006438312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002052544,0.0001850814,0.01645653,0.0008064915,0.04247794,0.0009789119,0.00003352815,0.001183032,0.9376732],"genre_scores_gemma":[0.008406512,0.0001307847,0.009872985,0.01278106,0.001456663,0.00004543566,0.0001338976,0.00005119515,0.9671215],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04102127,"threshold_uncertainty_score":0.9998681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429856269410038,"score_gpt":0.2604434218785514,"score_spread":0.2174577949375476,"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."}}