{"id":"W1586724124","doi":"","title":"Resource Description and Access: From AACR to RDA","year":2011,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Rural Development Administration","keywords":"Resource Description and Access; Computer science; Resource (disambiguation); Set (abstract data type); World Wide Web; Cataloging; Information retrieval; Library science; Computer network; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03345535,0.0009130152,0.001611859,0.01507168,0.006488546,0.03429899,0.005879758,0.009344716,0.1119512],"category_scores_gemma":[0.09601962,0.001812804,0.001124017,0.02113639,0.00887281,0.03293567,0.01274233,0.01031696,0.1316218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.016976,"about_ca_system_score_gemma":0.02565347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07444066,"about_ca_topic_score_gemma":0.04194908,"domain_scores_codex":[0.93876,0.01928963,0.007815005,0.004214446,0.02605558,0.003865341],"domain_scores_gemma":[0.9259138,0.01916468,0.003074899,0.02256954,0.02427701,0.005000034],"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":[0.00002830754,0.00003159314,0.0003003661,0.000258773,0.000006382748,0.0001010957,0.0007325105,0.0001605948,0.0002777781,0.3253712,0.5907784,0.08195303],"study_design_scores_gemma":[0.000004513625,0.000005641521,0.0001738282,0.0002467234,0.000002097138,0.00005709178,0.0002033892,0.0001304578,0.00009391458,0.01008082,0.9889709,0.00003074844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001131112,0.006113989,0.04031835,0.03504401,0.003812109,0.0008266828,0.008296154,0.007373325,0.8970842],"genre_scores_gemma":[0.05111679,0.01414026,0.1032453,0.05124218,0.005302265,0.002930038,0.02576409,0.009336958,0.7369221],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.965701,"threshold_uncertainty_score":0.3745142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04315769730589279,"score_gpt":0.2375497910245473,"score_spread":0.1943920937186545,"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."}}