{"id":"W7099395152","doi":"","title":"Resources Information Standards Committee Canadian Cataloguing in Publication Data National Library of Canada Cataloguing in Publication Data","year":2004,"lang":"en","type":"article","venue":"","topic":"Healthcare Education and Workforce Issues","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; National library; Library of congress; Research council; Information system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01513267,0.002450792,0.005604886,0.04949076,0.00611696,0.01521538,0.009959816,0.003851965,0.3764481],"category_scores_gemma":[0.09666944,0.002838536,0.001599103,0.1073498,0.00238361,0.00896399,0.003510634,0.005980889,0.3452962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03653015,"about_ca_system_score_gemma":0.1380326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.809647,"about_ca_topic_score_gemma":0.710417,"domain_scores_codex":[0.9721266,0.001585251,0.006438192,0.001338837,0.01662645,0.001884575],"domain_scores_gemma":[0.6744168,0.01649972,0.00802354,0.01310901,0.2827173,0.005233615],"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":[0.00002395164,0.00002199528,0.000181563,0.0008170692,0.000005812001,0.00001356406,0.00004925237,0.00007171831,0.00008487254,0.001305934,0.9771791,0.0202451],"study_design_scores_gemma":[0.00001818593,0.000006981557,0.002552545,0.0011744,0.00001609633,0.00001433396,0.0001078461,0.00008154188,0.0001244708,0.0005668255,0.9952853,0.0000514009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002158305,0.001082346,0.003035592,0.002854582,0.001504223,0.002647965,0.8488103,0.003134545,0.1367147],"genre_scores_gemma":[0.001312809,0.004818344,0.01009484,0.001221289,0.0002648352,0.003440338,0.8158438,0.001908049,0.1610957],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.809647,"threshold_uncertainty_score":0.889421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433461087658475,"score_gpt":0.3189888035507616,"score_spread":0.2746541926741769,"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."}}