{"id":"W4220804956","doi":"10.18438/eblip30004","title":"Transforming Academic Libraries into Information Commons: A Proposed Model","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perception; Computer science; Space (punctuation); Information literacy; Academic library; Medical education; Library classification; World Wide Web; Psychology; Knowledge management; Library science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001812472,0.0001746006,0.0001594383,0.0005144229,0.002932007,0.001563043,0.0007038647,0.0001065864,0.0008497995],"category_scores_gemma":[0.001303693,0.000174812,0.0000613877,0.001358467,0.0002782053,0.8910981,0.0002427125,0.0006621873,0.00008578876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004866623,"about_ca_system_score_gemma":0.001744991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004960631,"about_ca_topic_score_gemma":5.670175e-8,"domain_scores_codex":[0.9971078,0.000513308,0.0008672099,0.0001344357,0.001017761,0.0003595075],"domain_scores_gemma":[0.9977676,0.001063315,0.0006077493,0.000233301,0.00008124455,0.0002467596],"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":[0.0002922299,0.00001748064,0.0001813554,0.00007201042,0.000005670161,5.472531e-7,0.03062269,0.003924653,0.00000858368,0.9345466,0.005857381,0.02447083],"study_design_scores_gemma":[0.0003283191,0.0001144161,0.0001134737,0.00006433855,0.00001291156,0.00000646251,0.02560013,0.04996673,0.000262122,0.003022293,0.9202685,0.0002403096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01512236,0.00126836,0.04193409,0.8293061,0.0008448948,0.002830495,0.0001284444,0.001295828,0.1072694],"genre_scores_gemma":[0.4263361,0.002274253,0.02020755,0.5494099,0.0001481808,0.0002866856,0.0004933063,0.00001526184,0.0008287643],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9315243,"threshold_uncertainty_score":0.9994735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198327571202265,"score_gpt":0.2909627097692694,"score_spread":0.2689794340572468,"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."}}