{"id":"W7100796520","doi":"","title":"Bibliographic Services","year":2003,"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":"Government (linguistics); Confidentiality; Legislation; Control (management); Column (typography)","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":[0.004176304,0.002255487,0.003211703,0.02560042,0.004877676,0.01499195,0.004874827,0.003896623,0.9350429],"category_scores_gemma":[0.03868873,0.001371434,0.001544631,0.03494777,0.001145176,0.006717368,0.006357468,0.002710795,0.9143542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005156031,"about_ca_system_score_gemma":0.01020229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235866,"about_ca_topic_score_gemma":0.01627879,"domain_scores_codex":[0.9930441,0.000667614,0.0009595661,0.0006734543,0.004176258,0.0004790728],"domain_scores_gemma":[0.980158,0.002043331,0.001288746,0.003397908,0.01062107,0.002490847],"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":[0.00001227381,0.00001032032,0.00006147213,0.0003268201,0.000003199033,0.00002699924,0.0000447997,0.00001789442,0.00007130551,0.00153246,0.9707285,0.02716389],"study_design_scores_gemma":[0.000005399092,0.000002612384,0.0001530885,0.0001358912,0.000002142911,0.0000312942,0.00003729856,0.00001665116,0.00002482398,0.0004734617,0.999111,0.000006325387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001757302,0.002493604,0.001801927,0.004260477,0.003619769,0.0006614188,0.1158434,0.009946008,0.8611976],"genre_scores_gemma":[0.001490935,0.004449538,0.003528864,0.001661512,0.001726752,0.0007016672,0.1075841,0.005451381,0.8734052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9350429,"threshold_uncertainty_score":0.09265339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006456910162141374,"score_gpt":0.1787362648785219,"score_spread":0.1722793547163805,"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."}}