{"id":"W2765353753","doi":"10.5703/1288284316444","title":"The Librarian’s Survival Guide to the “Big Deal”: Tools for Unbundling","year":2017,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Unbundling; Liberian dollar; Work (physics); Citation; Computer science; Big data; Value (mathematics); Business; Operations research; Marketing; World Wide Web; Engineering; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01651099,0.001041037,0.0007998823,0.009289053,0.003321151,0.01376739,0.001891198,0.00203814,0.09165291],"category_scores_gemma":[0.04763983,0.001665295,0.0006253243,0.01248966,0.002153496,0.01318017,0.003683047,0.003712484,0.1030259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462446,"about_ca_system_score_gemma":0.01080639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282722,"about_ca_topic_score_gemma":0.03818037,"domain_scores_codex":[0.9919051,0.002551965,0.001027185,0.0003784564,0.003839861,0.0002974141],"domain_scores_gemma":[0.9479904,0.02236178,0.002541573,0.00653073,0.01690149,0.003674026],"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":[0.00002086458,0.00006814319,0.0007403748,0.0002353431,0.000007425997,0.00007734142,0.001697137,0.0002195738,0.0005046282,0.01274692,0.7741936,0.2094887],"study_design_scores_gemma":[0.000009094098,0.00001823237,0.0005846096,0.0002206545,0.00000414742,0.00008089172,0.0007144285,0.000296856,0.0003432203,0.004581925,0.993116,0.00002993405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005475314,0.008413997,0.3172869,0.05303674,0.002839318,0.003543824,0.03101116,0.09330951,0.4850832],"genre_scores_gemma":[0.01743977,0.007805622,0.6269494,0.006885994,0.0007905355,0.002084422,0.0140007,0.02333112,0.3007123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9862326,"threshold_uncertainty_score":0.3066096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312359854739417,"score_gpt":0.3817956542286977,"score_spread":0.2505596687547559,"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."}}