{"id":"W7101125371","doi":"","title":"National Library m*m of Canada Biblioth&amp;amp;que nationale du Canada Acquisitions and Acquisitions et Bibliographic Services services bibliographiques","year":2000,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National library; Government (linguistics); Library of congress; Electronic library; Interlibrary loan; Access to information","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":[],"category_scores_codex":[0.001437551,0.0009420993,0.001452156,0.00556997,0.01063602,0.01587589,0.001995149,0.002174737,0.5512637],"category_scores_gemma":[0.008476426,0.0008200399,0.0005013573,0.01431256,0.001752015,0.002983588,0.002221276,0.002003312,0.294981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04799383,"about_ca_system_score_gemma":0.1388608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8967512,"about_ca_topic_score_gemma":0.9422094,"domain_scores_codex":[0.9958538,0.0001321669,0.0001441657,0.0004800973,0.002875834,0.000514036],"domain_scores_gemma":[0.9839643,0.0004932752,0.0003852462,0.0007501058,0.01258382,0.001823306],"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":[0.00001977347,0.00001463452,0.0005377983,0.0002060228,0.000004986483,0.00004686197,0.0001395747,0.00004907478,0.0001635492,0.008511838,0.9379634,0.05234249],"study_design_scores_gemma":[0.000002213143,0.000002061962,0.001107103,0.00007284225,0.000002292414,0.000013829,0.00009210828,0.00003156219,0.00006792605,0.0001499535,0.9984503,0.000007787554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008278399,0.002770959,0.0006235066,0.007081275,0.0009823851,0.0001704777,0.02707777,0.001223102,0.9592427],"genre_scores_gemma":[0.003071226,0.00228614,0.0008655018,0.0005564414,0.00008375377,0.0000420029,0.00617822,0.0003090521,0.9866077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5512637,"threshold_uncertainty_score":0.6400679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00793802831931423,"score_gpt":0.201374877554938,"score_spread":0.1934368492356237,"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."}}