{"id":"W2070404221","doi":"10.1177/0340035208099268","title":"Libraries Driving Access to Knowledge: a discussion paper","year":2008,"lang":"en","type":"article","venue":"IFLA Journal","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Brainstorming; Information access; Obligation; Information literacy; Library science; Access to information; Political science; Public relations; World Wide Web; Computer science; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004033962,0.00006939746,0.00008816382,0.0001463936,0.001977808,0.001155563,0.0006317655,0.00004164907,0.002471421],"category_scores_gemma":[0.0002417263,0.00004118378,0.00006068009,0.0005555419,0.0001512074,0.04013043,0.0001252168,0.0001681011,0.0003653264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003162081,"about_ca_system_score_gemma":0.0005101891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001655716,"about_ca_topic_score_gemma":0.00001222656,"domain_scores_codex":[0.9988912,0.0001044173,0.0002449298,0.00008813336,0.0003741982,0.0002971303],"domain_scores_gemma":[0.9993152,0.00005670873,0.00008712752,0.0000908552,0.00007717787,0.0003729526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001848526,0.00007634447,0.104203,0.000005226045,0.00001044129,0.00003256743,0.3067055,0.00004495958,0.0001458195,0.03064953,0.4783524,0.0797557],"study_design_scores_gemma":[0.00009097754,0.0000212614,0.05933707,0.00003582082,0.000001191431,0.0000309631,0.002413336,0.00002063312,0.00007725885,0.001900456,0.9359747,0.0000963218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.491444,0.0002826743,0.001816024,0.1005884,0.002837608,0.0002616389,0.000002194075,0.0001591316,0.4026084],"genre_scores_gemma":[0.9641452,0.0002197074,0.001434237,0.00761526,0.001690032,0.000004477121,0.000001287666,0.000007627944,0.02488211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4727013,"threshold_uncertainty_score":0.9998813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0390991107834955,"score_gpt":0.3364919035551235,"score_spread":0.2973927927716281,"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."}}