{"id":"W4408811722","doi":"10.1629/uksg.686","title":"Investing in open: Canadian challenges in bibliodiversity","year":2025,"lang":"en","type":"article","venue":"Insights the UKSG journal","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science; Data science","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":["bibliometrics","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01675243,0.0005369111,0.001186377,0.007148141,0.03213183,0.03754421,0.004894499,0.00614762,0.03763106],"category_scores_gemma":[0.05136821,0.0007478915,0.0008711996,0.01686535,0.01830015,0.01877324,0.01334188,0.007888013,0.002559459],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2270848,"about_ca_system_score_gemma":0.4157442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9882652,"about_ca_topic_score_gemma":0.9920156,"domain_scores_codex":[0.9724934,0.002589586,0.0008121677,0.00166033,0.01611261,0.00633194],"domain_scores_gemma":[0.9460688,0.009674605,0.001383184,0.002578001,0.02746987,0.01282551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007433099,0.00002710086,0.00218839,0.0003450423,0.00002621755,0.000390329,0.01056876,0.000268813,0.000205355,0.7233185,0.1838914,0.07869574],"study_design_scores_gemma":[0.00002324092,0.00001591903,0.003705847,0.0004568592,0.0000276205,0.0001658794,0.01330861,0.0002162786,0.0001995669,0.04605649,0.9357165,0.0001073046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0187424,0.0220463,0.001885817,0.5453563,0.002364312,0.00006991795,0.001007348,0.0002135759,0.408314],"genre_scores_gemma":[0.593394,0.04329228,0.007430679,0.08483507,0.001514741,0.0001289451,0.0009927509,0.0006451211,0.2677664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951055,"threshold_uncertainty_score":0.8964721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07945123421278852,"score_gpt":0.2489855507704592,"score_spread":0.1695343165576707,"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."}}