{"id":"W7084171731","doi":"","title":"Locked Out: An Empirical Study of the Impacts of Technological Protection Measures on Digital Content Access in Canadian Academic Libraries","year":2025,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Ambiguity; Empirical research; Legislature; Qualitative research; Digital content; Fair use; Scope (computer science)","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":[0.01484194,0.0004058921,0.000857269,0.005863287,0.03264601,0.01098252,0.004074547,0.001970881,0.008997139],"category_scores_gemma":[0.07876429,0.0005577091,0.0005809031,0.01112575,0.01770809,0.006053008,0.009434039,0.00322982,0.0004355855],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1329213,"about_ca_system_score_gemma":0.1583318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9498886,"about_ca_topic_score_gemma":0.959365,"domain_scores_codex":[0.9792091,0.004822973,0.0007883467,0.001489782,0.008300629,0.005389189],"domain_scores_gemma":[0.9228878,0.04247739,0.007988716,0.003357658,0.01707553,0.006212933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002085871,0.0004054807,0.07285237,0.0004693384,0.00002755699,0.00107403,0.85732,0.0002587867,0.001109097,0.01649591,0.003618762,0.04616013],"study_design_scores_gemma":[0.00002463607,0.0001629522,0.09271871,0.0003857774,0.00004009143,0.0001189466,0.8563735,0.0005209806,0.0008482584,0.001514967,0.04719214,0.00009904362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652979,0.0005517699,0.0007459993,0.002482214,0.00003452026,0.0003170325,0.0003362215,0.00003543459,0.0301988],"genre_scores_gemma":[0.9920043,0.0003660734,0.0005383964,0.0005974221,0.00001112755,0.0001203528,0.00009232767,0.00002253691,0.006247391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890175,"threshold_uncertainty_score":0.9644159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05991862699785076,"score_gpt":0.293793648920206,"score_spread":0.2338750219223552,"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."}}