{"id":"W1832462169","doi":"10.18438/b88c82","title":"Electronic Resource Availability Studies: An Effective Way to Discover Access Errors","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Troubleshooting; Interlibrary loan; Proxy (statistics); Computer science; Resource (disambiguation); World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03840369,0.0009497884,0.001231047,0.01348459,0.001673149,0.003003619,0.002173468,0.001375309,0.007678145],"category_scores_gemma":[0.1587963,0.001113672,0.0009051627,0.006597433,0.001152004,0.008104448,0.004751855,0.001649104,0.001083055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323023,"about_ca_system_score_gemma":0.002793217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302913,"about_ca_topic_score_gemma":0.002251658,"domain_scores_codex":[0.9512433,0.03287072,0.004604526,0.003151966,0.007352345,0.0007771539],"domain_scores_gemma":[0.5992103,0.3017322,0.04837226,0.0208213,0.02575647,0.004107496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002220859,0.003225739,0.2631358,0.002560179,0.0003780023,0.001025346,0.03257944,0.001570833,0.008104417,0.002228004,0.01425215,0.6687191],"study_design_scores_gemma":[0.001813284,0.0117155,0.7651268,0.00331013,0.0009640953,0.002899672,0.07370379,0.03791312,0.03781871,0.009629429,0.05422601,0.0008793634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621565,0.001488823,0.09997099,0.003044728,0.0004171808,0.005639114,0.00173728,0.004718502,0.02082689],"genre_scores_gemma":[0.8566855,0.000460689,0.1366713,0.0004653719,0.0001855537,0.002807481,0.0004162356,0.0001403388,0.002167403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9969964,"threshold_uncertainty_score":0.2031006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534094235562768,"score_gpt":0.3011330923548525,"score_spread":0.2657921499992248,"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."}}