{"id":"W7099881126","doi":"","title":"I*I oi Canada Acquisitions and Bibliographie Services","year":2000,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Work (physics); Information system; Payment","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":[0.0009942354,0.0006959882,0.000667587,0.006500558,0.008572167,0.007583774,0.001238858,0.002248568,0.3786053],"category_scores_gemma":[0.004720828,0.0006696082,0.0005550206,0.006160117,0.001158905,0.001461657,0.001921778,0.00253314,0.09343396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03946334,"about_ca_system_score_gemma":0.1783134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9589705,"about_ca_topic_score_gemma":0.9768752,"domain_scores_codex":[0.9974518,0.00005592209,0.00005681617,0.0001739484,0.001526924,0.0007345407],"domain_scores_gemma":[0.9896437,0.000458994,0.0003327214,0.0002505734,0.006782945,0.002531025],"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":[0.00008880949,0.00007098373,0.003791755,0.0001519468,0.00001363928,0.0001450101,0.0001503521,0.00008200589,0.0005161898,0.008946451,0.9321911,0.05385179],"study_design_scores_gemma":[0.000017555,0.00001292237,0.01115132,0.0000553853,0.000009724582,0.0000493685,0.0002457679,0.0001415601,0.0004565385,0.0001956491,0.9876477,0.00001659806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008080767,0.002034815,0.0004083699,0.01845838,0.001795018,0.000257809,0.02440861,0.001357478,0.9431987],"genre_scores_gemma":[0.01032652,0.001007864,0.0004497233,0.0009702765,0.0001251973,0.00003045238,0.002909177,0.0001791074,0.9840016],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9589705,"threshold_uncertainty_score":0.8863441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003073945043015433,"score_gpt":0.1612815610257448,"score_spread":0.1582076159827294,"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."}}