{"id":"W7095957061","doi":"","title":"du Canada uisitions and Acquisitions et "I Bib iographic Se~icer services bibliographiques","year":2014,"lang":"en","type":"article","venue":"","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Order (exchange); Subject (documents)","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":[0.001055884,0.000442687,0.0005673617,0.006788556,0.007272466,0.00610132,0.0009305062,0.001035917,0.06160043],"category_scores_gemma":[0.006478834,0.0005529196,0.0004588567,0.01476488,0.001254443,0.001268062,0.001119839,0.002098147,0.002933352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1029584,"about_ca_system_score_gemma":0.1896217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9965733,"about_ca_topic_score_gemma":0.9980597,"domain_scores_codex":[0.9970523,0.0001484385,0.00008534544,0.0002195173,0.001628186,0.0008660867],"domain_scores_gemma":[0.9914415,0.001006352,0.00048376,0.0001764698,0.005522898,0.001369116],"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":[0.000244181,0.0000811589,0.05144285,0.0007606384,0.00007878661,0.0003599998,0.003587501,0.0007765769,0.0003588995,0.1478518,0.6551023,0.1393553],"study_design_scores_gemma":[0.00001904368,0.00001459268,0.09650619,0.0003540233,0.00004338405,0.00006850448,0.002935535,0.0004558917,0.0004473636,0.001488245,0.8976306,0.0000367232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08212845,0.02732374,0.001382864,0.03464389,0.002031633,0.000209377,0.08041707,0.0004000261,0.7714629],"genre_scores_gemma":[0.2185548,0.01273766,0.001432494,0.001965895,0.0001542964,0.00007974374,0.008738543,0.0001358641,0.7562007],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9965733,"threshold_uncertainty_score":0.7470188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438494240088204,"score_gpt":0.309442848151652,"score_spread":0.2950579057507699,"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."}}