{"id":"W4391047219","doi":"10.5206/cjils-rcsib.v46i2.17324","title":"A vision for The Canadian Journal of Information and Library Science","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Vision science; Library science; Data science; Computer science; Information retrieval; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04042669,0.001733515,0.002026889,0.01272449,0.03475581,0.04348739,0.005973191,0.02674128,0.01852949],"category_scores_gemma":[0.03779232,0.001265905,0.001561757,0.009765257,0.03614046,0.02459961,0.01613741,0.02871547,0.004881473],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1119948,"about_ca_system_score_gemma":0.4998899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8841075,"about_ca_topic_score_gemma":0.8952903,"domain_scores_codex":[0.9567667,0.005892956,0.002076627,0.002234623,0.02526294,0.007766197],"domain_scores_gemma":[0.8627012,0.005356244,0.001828306,0.002752098,0.08098632,0.04637581],"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":[0.00002475614,0.00005146884,0.0002083604,0.0002696757,0.0000128071,0.00007316418,0.001309928,0.00008700651,0.000164787,0.1963533,0.7758414,0.02560333],"study_design_scores_gemma":[0.00001397139,0.00001033908,0.0006310297,0.000288437,0.00001207637,0.0000583205,0.002929004,0.000101574,0.00004107008,0.02506347,0.9707936,0.00005718572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0005727106,0.04530168,0.001800376,0.8553199,0.03905204,0.00008942431,0.0003617296,0.000256824,0.05724539],"genre_scores_gemma":[0.1007962,0.1242058,0.0435633,0.5215137,0.03237206,0.0005827409,0.001726022,0.0007016498,0.1745386],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9565126,"threshold_uncertainty_score":0.8125826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694323416000678,"score_gpt":0.1999744578740889,"score_spread":0.1830312237140821,"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."}}