{"id":"W2920372184","doi":"10.31228/osf.io/3u72e","title":"Available - But not Accessible? Investigating Publisher e-lending Licensing Practices","year":2019,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"News aggregator; Jurisdiction; Sample (material); Confidentiality; Business; Advertising; Political science; Computer science; Law; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0003216667,0.0001457384,0.0001417945,0.0002420298,0.000216487,0.005421471,0.0008048305,0.00005997017,0.001241243],"category_scores_gemma":[0.0003886594,0.0001225535,0.00004059785,0.001077986,0.00002266699,0.01981316,0.0006192292,0.0001474727,0.002144448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003345684,"about_ca_system_score_gemma":0.0002368174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007196121,"about_ca_topic_score_gemma":0.000005369126,"domain_scores_codex":[0.9984691,0.0000433014,0.0002647641,0.000471045,0.0004117808,0.0003400193],"domain_scores_gemma":[0.9987729,0.0003094939,0.0003462312,0.0003587948,0.00006767423,0.0001449052],"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":[0.00002314926,0.0001274022,0.3617517,0.0001503746,0.0001105681,0.00002281285,0.002162912,0.0001092923,0.01722244,0.06578349,0.5237335,0.02880234],"study_design_scores_gemma":[0.000910235,0.0001113216,0.01092273,0.000149103,0.000008048339,0.00005012169,0.0007699605,0.05137917,0.09054509,0.003777181,0.8402435,0.001133502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2382054,0.00003072606,0.002072305,0.001423867,0.0007298891,0.0001254581,1.405691e-7,0.0004445823,0.7569677],"genre_scores_gemma":[0.5637694,0.000005141147,0.05873646,0.002939575,0.0000884643,0.000005985686,0.000002080536,0.0000145801,0.3744383],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3825293,"threshold_uncertainty_score":0.9996718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617183580010514,"score_gpt":0.25778783384714,"score_spread":0.2016159980470348,"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."}}