{"id":"W4385258691","doi":"10.15460/hup.228.1685","title":"Implementing KaRo","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; European Bank for Reconstruction and Development; German Marshall Fund of the United States; University of California, Los Angeles; Pew Charitable Trusts; Andrew W. Mellon Foundation; United States Agency for International Development; Ford Foundation","keywords":"Cataloging; Library science; European union; National library; Union catalog; Foundation (evidence); Political science; Soviet union; World Wide Web; Geography; Computer science; Business; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004447026,0.0005615673,0.000331188,0.00104798,0.003700895,0.008137726,0.001944834,0.001698851,0.06214924],"category_scores_gemma":[0.01098438,0.0004747997,0.0005052174,0.0009327577,0.002604834,0.01100221,0.01032577,0.002082336,0.02056278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261294,"about_ca_system_score_gemma":0.00736736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004617409,"about_ca_topic_score_gemma":0.01388985,"domain_scores_codex":[0.9966894,0.0008884996,0.0001354896,0.0005482379,0.001017213,0.0007211182],"domain_scores_gemma":[0.9962448,0.0008703935,0.0002082353,0.001023071,0.001034859,0.0006185556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003151807,0.0004414145,0.004013978,0.0004828005,0.00003138243,0.0005731793,0.01999619,0.001550317,0.003238968,0.4033784,0.1945009,0.3714772],"study_design_scores_gemma":[0.00002242669,0.00005327367,0.0009571427,0.0002248203,0.00002130541,0.0002371743,0.006521602,0.001599139,0.001931371,0.02648742,0.961904,0.00004027034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01939497,0.0005663003,0.07274326,0.007598318,0.001238955,0.000351226,0.0003103289,0.006953663,0.890843],"genre_scores_gemma":[0.2530376,0.001235566,0.07605161,0.00541418,0.0001827047,0.0004835215,0.001090585,0.003023657,0.6594806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06214924,"threshold_uncertainty_score":0.2079099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302889071003178,"score_gpt":0.2040795360523285,"score_spread":0.1910506453422967,"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."}}