{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04374928,0.0002047151,0.000668329,0.003271146,0.00284222,0.01008479,0.001797265,0.0008567945,0.004322935],"category_scores_gemma":[0.1335216,0.0006018907,0.0003957287,0.007138928,0.004786623,0.009181301,0.00471171,0.001376703,0.0004810184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002786661,"about_ca_system_score_gemma":0.003083669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009871467,"about_ca_topic_score_gemma":0.01394651,"domain_scores_codex":[0.96992,0.01913377,0.003039608,0.002223813,0.004713328,0.0009695281],"domain_scores_gemma":[0.7126584,0.2218279,0.03941888,0.01036065,0.01333485,0.002399299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001640588,0.0002700594,0.4790729,0.0008086438,0.00009496414,0.0005216114,0.4870152,0.0001498412,0.0006440473,0.003716201,0.0007107967,0.02683174],"study_design_scores_gemma":[0.00003284684,0.0002438208,0.3302003,0.0008916192,0.0001383732,0.0004743313,0.6415112,0.001230122,0.002169167,0.002727231,0.02028363,0.00009731185],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940528,0.0003699106,0.0008563898,0.0003597515,0.000008032128,0.00008860702,0.0002085875,0.000007215507,0.004048684],"genre_scores_gemma":[0.9970675,0.0003121845,0.001297174,0.0001675762,0.00001912594,0.0002016286,0.0001403103,0.00001298383,0.0007815551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9899152,"threshold_uncertainty_score":0.2313711,"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."}}