{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005388635,0.0003788647,0.000642198,0.00005569688,0.00021888,0.000200394,0.0004037475,0.00003589769,0.0007099839],"category_scores_gemma":[0.0002832,0.000363216,0.0002426945,0.0001018712,0.0003009611,0.0005082353,0.0001828963,0.0002964076,0.0006168835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636961,"about_ca_system_score_gemma":0.001021849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1574378,"about_ca_topic_score_gemma":0.159485,"domain_scores_codex":[0.9974988,0.0001315264,0.0008007513,0.0004808872,0.0004587103,0.0006293866],"domain_scores_gemma":[0.9980343,0.00008939806,0.0003643737,0.0005547276,0.0003298159,0.000627372],"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":[0.000005256056,0.00009214792,0.00002948253,0.003748563,0.00008443873,0.002392098,0.0004425009,0.000008856018,6.178584e-8,0.3350882,0.6397855,0.01832294],"study_design_scores_gemma":[0.0001933451,0.0001014928,0.0005238437,0.004820622,0.0002641994,0.0009450114,0.0002544448,0.00002337559,9.311117e-7,0.009922699,0.9825087,0.0004412891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004880067,0.2382161,0.0000310853,0.05755792,0.003752839,0.00061738,0.002009554,0.00004761272,0.6972795],"genre_scores_gemma":[0.01653771,0.04837274,0.0002694078,0.01431036,0.006009857,0.000164516,0.001276808,0.00008994532,0.9129686],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3427233,"threshold_uncertainty_score":0.999882,"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."}}