{"id":"W1519419261","doi":"","title":"MRU Library Website: Statistics and Data: Calgary","year":2013,"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":"Statistics; Data science; Computer science; Library science; World Wide Web; Mathematics","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":[0.004263718,0.001708071,0.001732172,0.01394612,0.001404324,0.006467171,0.002393496,0.001511806,0.3598975],"category_scores_gemma":[0.03275877,0.001491179,0.0005821855,0.0290551,0.0006936134,0.002594701,0.002585623,0.00316402,0.3071493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005662603,"about_ca_system_score_gemma":0.01686643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1620332,"about_ca_topic_score_gemma":0.1750924,"domain_scores_codex":[0.9964626,0.0004353461,0.0004457257,0.0004304059,0.001861702,0.0003642302],"domain_scores_gemma":[0.9667078,0.007507468,0.002050231,0.00611384,0.01514574,0.002474862],"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":[0.00003392809,0.00002422609,0.0006685753,0.00006490414,0.000005318645,0.000007666698,0.00001969291,0.0001166057,0.000025994,0.0005037444,0.9786524,0.01987696],"study_design_scores_gemma":[0.0001145318,0.0000350393,0.01307539,0.0003287458,0.0000213016,0.00003180128,0.0001446195,0.0007729915,0.000667878,0.002429685,0.9823213,0.00005678909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001437897,0.0005794486,0.002651398,0.001414049,0.0004186832,0.0003733249,0.886664,0.01548241,0.09097878],"genre_scores_gemma":[0.006239813,0.001660552,0.01031917,0.000972248,0.0005056881,0.001300219,0.7051989,0.01511182,0.2586916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9935328,"threshold_uncertainty_score":0.9130285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03073489024499643,"score_gpt":0.2476485795970131,"score_spread":0.2169136893520167,"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."}}