{"id":"W6921934826","doi":"10.7939/dvn/10844","title":"University of Alberta Library Subscription Expenditures","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fiscal year; Economic forecasting; Government (linguistics); Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009147527,0.001146541,0.001062205,0.007854398,0.0008033694,0.003044925,0.001779566,0.0008540294,0.036229],"category_scores_gemma":[0.007104581,0.0005316242,0.0006494945,0.0202066,0.0002637209,0.0007959877,0.0009078555,0.001442615,0.02558905],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009275196,"about_ca_system_score_gemma":0.01185738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7899801,"about_ca_topic_score_gemma":0.8531574,"domain_scores_codex":[0.9986069,0.000100602,0.0001139073,0.000243119,0.0007047298,0.0002307658],"domain_scores_gemma":[0.996064,0.0004116248,0.0004457305,0.0002675895,0.00239522,0.0004157932],"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":[0.00003586045,0.0000124486,0.002986623,0.0002288827,0.0000206461,0.00001603389,0.00003319353,0.0002820969,0.00002136976,0.0008088467,0.9918515,0.003702507],"study_design_scores_gemma":[0.00006508568,0.00001104313,0.04412754,0.0003992609,0.00003797287,0.00004353383,0.0002485542,0.0006077745,0.0001600022,0.0006702674,0.9535962,0.00003289846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004322401,0.0001930963,0.00003142434,0.00008809905,0.00002589312,0.00001108258,0.9959463,0.00007688981,0.003194926],"genre_scores_gemma":[0.002224499,0.0003001846,0.0002036086,0.00005680972,0.00001537079,0.00004221109,0.992088,0.00003123303,0.005038005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9969551,"threshold_uncertainty_score":0.4225135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336291305383642,"score_gpt":0.228752178577593,"score_spread":0.1953892655237565,"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."}}