{"id":"W4205506527","doi":"10.5206/elip.v4i1.13465","title":"Delivering Access","year":2021,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001323148,0.0001365298,0.0001322377,0.0002929056,0.0002928814,0.002774898,0.001223866,0.00004390926,0.0005704892],"category_scores_gemma":[0.00004525727,0.0001303803,0.00008720671,0.001379951,0.00003702547,0.1517988,0.0007439958,0.0001209516,0.0004749445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002491452,"about_ca_system_score_gemma":0.0002473704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007744507,"about_ca_topic_score_gemma":1.643237e-7,"domain_scores_codex":[0.9986694,0.00004013681,0.0004291412,0.0001920657,0.0004074002,0.0002618069],"domain_scores_gemma":[0.9990735,0.00003483069,0.0001772678,0.0004676924,0.0001336816,0.0001130029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001122781,0.00005639157,0.005631091,0.0000875163,0.00005967908,0.00001648977,0.175363,0.002704772,0.000137666,0.7349075,0.03958204,0.04144263],"study_design_scores_gemma":[0.0007674414,0.00005780414,0.03097488,0.0001018984,0.00000299463,0.000150434,0.0400444,0.1066826,0.02454628,0.004751068,0.7910231,0.0008971251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0590084,0.0006589246,0.4518088,0.01565986,0.001429228,0.0002572471,0.00001405849,0.001752189,0.4694113],"genre_scores_gemma":[0.9623036,0.0002877551,0.02890586,0.006377321,0.0002521392,0.0000299317,0.00008105989,0.00001278224,0.001749491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9032953,"threshold_uncertainty_score":0.9982603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136881980474694,"score_gpt":0.2368173814078207,"score_spread":0.2254485616030737,"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."}}