{"id":"W4416807619","doi":"10.1080/07317131.2025.2597602","title":"Library and Archives Canada","year":2025,"lang":"en","type":"article","venue":"Technical Services Quarterly","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); National library; National archives; Archival science; Canadian studies","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":[0.00294739,0.0009807004,0.00122124,0.003769167,0.01766346,0.02007505,0.002657963,0.0054884,0.3024644],"category_scores_gemma":[0.01634677,0.0009695565,0.0007110511,0.01002195,0.00305464,0.004410823,0.004070188,0.004750184,0.09959912],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08222141,"about_ca_system_score_gemma":0.3280841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9593279,"about_ca_topic_score_gemma":0.9736111,"domain_scores_codex":[0.9892378,0.0004528721,0.0004240183,0.001168961,0.006439585,0.002276695],"domain_scores_gemma":[0.9679595,0.001329391,0.0004802163,0.001197777,0.02332059,0.005712425],"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":[0.00001874591,0.00001146388,0.0003937729,0.0001087868,0.000005490821,0.00007429545,0.0001586969,0.00004298509,0.00005614178,0.02727554,0.9505453,0.02130879],"study_design_scores_gemma":[0.000003464488,0.000002156375,0.0006593018,0.00006996479,0.00000281576,0.00002320967,0.0001854203,0.00002866252,0.00002804372,0.000631723,0.9983542,0.00001107741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007458598,0.006132231,0.0005446227,0.04668551,0.003817932,0.0001438452,0.0166388,0.0007821733,0.924509],"genre_scores_gemma":[0.007366324,0.003511814,0.0006618166,0.00773884,0.000276719,0.00005229427,0.003085768,0.0002292624,0.9770771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.979925,"threshold_uncertainty_score":0.9949499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004972462269707856,"score_gpt":0.2392858874550882,"score_spread":0.2343134251853803,"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."}}