{"id":"W2579312322","doi":"","title":"Research guides: Cataloguing Resources: RDA Training Materials","year":2013,"lang":"en","type":"libguides","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer science; World Wide Web; Library science; Geography","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005015082,0.0003735613,0.000627141,0.001104061,0.0005812246,0.006063374,0.006873645,0.0004470807,0.001178618],"category_scores_gemma":[0.0002488554,0.0002798784,0.000113669,0.001427162,0.0002320943,0.01019355,0.001762621,0.0005457735,0.006411068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009389856,"about_ca_system_score_gemma":0.0006690748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236983,"about_ca_topic_score_gemma":0.000007726278,"domain_scores_codex":[0.9942623,0.0004708873,0.001368462,0.0008229502,0.001942723,0.001132657],"domain_scores_gemma":[0.9965622,0.0004498534,0.0004299576,0.001802892,0.0004669019,0.000288191],"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":[6.338773e-7,0.000004875514,0.000003391177,0.000107592,0.00001350788,0.000007296561,0.01575368,0.000005387547,0.0001568346,0.01002393,0.9687646,0.005158248],"study_design_scores_gemma":[0.0001071108,0.00006993602,0.00002581695,0.0003714896,8.998123e-7,0.00004177756,0.006027405,0.0008443309,0.001505231,0.00142648,0.989166,0.000413559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002871526,0.0006341439,0.0142144,0.004297677,0.007837941,0.001319996,0.0001537005,0.001177694,0.9674929],"genre_scores_gemma":[0.0266458,0.0004615593,0.05163202,0.01007991,0.007380723,0.0005863005,0.001199186,0.0001466458,0.9018679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06562507,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1446337700642808,"score_gpt":0.327403148855182,"score_spread":0.1827693787909012,"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."}}