{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003280028,0.00007530778,0.00009871845,0.002053222,0.0003513582,0.001244717,0.001627411,0.00003786974,0.00001717587],"category_scores_gemma":[0.00007878351,0.00005072336,0.00002139039,0.002690675,0.00002813758,0.001987068,0.0004788604,0.0002672825,0.00002112859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372801,"about_ca_system_score_gemma":0.0007960387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169857,"about_ca_topic_score_gemma":0.07526411,"domain_scores_codex":[0.9992021,0.0001064059,0.0001862695,0.0001526607,0.0001351295,0.0002173837],"domain_scores_gemma":[0.9995475,0.0001087732,0.00004853451,0.0001537957,0.00003060891,0.0001107214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004348148,0.0001794657,0.2676945,0.00002538995,0.00007428454,0.001420333,0.03732974,0.0004506348,0.00001752266,0.474778,0.07460726,0.1433794],"study_design_scores_gemma":[0.0009203603,0.0000315953,0.2791448,0.0001929259,0.000001578384,0.00007812155,0.0007453367,0.001583635,0.0001116855,0.1606495,0.5563306,0.0002099134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2602099,0.002698872,0.0002084774,0.03379014,0.0007276131,0.0001968222,3.328033e-7,0.00002832874,0.7021394],"genre_scores_gemma":[0.9954883,0.0004091222,0.0006801973,0.001665256,0.0000301838,0.000002595936,1.460495e-7,0.000002008128,0.001722193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7352783,"threshold_uncertainty_score":0.9997921,"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."}}