{"id":"W2271107046","doi":"10.25071/1708-6701.40224","title":"CAML 2015 Annual Report: RILM Canada","year":2015,"lang":"fr","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Library science; History; World Wide Web; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005762235,0.001109753,0.001201399,0.005773725,0.003397327,0.008079097,0.002693205,0.003979829,0.1946568],"category_scores_gemma":[0.01079896,0.0006450707,0.0008438263,0.00703212,0.001355594,0.002143955,0.002284225,0.00228426,0.09263434],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03587606,"about_ca_system_score_gemma":0.1888083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7536793,"about_ca_topic_score_gemma":0.8350681,"domain_scores_codex":[0.9926729,0.00028171,0.0002598822,0.0003347581,0.005611022,0.0008397923],"domain_scores_gemma":[0.9783723,0.000600941,0.0005757622,0.0003511051,0.01772304,0.002376853],"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":[0.00001018558,0.000006724439,0.00006062029,0.0001696934,0.000002034785,0.0000103844,0.000009847131,0.00001605117,0.0000353477,0.0004431292,0.9922307,0.00700527],"study_design_scores_gemma":[0.000004748641,0.00000390251,0.0007993543,0.0003166634,0.000002707726,0.000005808256,0.00003659071,0.00000940833,0.00003768155,0.00007817007,0.9986995,0.000005442434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001611602,0.1097021,0.0008962016,0.1193133,0.05436744,0.002822626,0.09487475,0.001493184,0.6149189],"genre_scores_gemma":[0.004394436,0.03859381,0.001081116,0.01139035,0.002439438,0.0007084587,0.01847815,0.0003472138,0.9225671],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.964124,"threshold_uncertainty_score":0.6511919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144794964367824,"score_gpt":0.2411762678339525,"score_spread":0.2097283181902742,"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."}}