{"id":"W1574339546","doi":"10.18438/b81w35","title":"Navigating User Feedback Channels to Chart an Evidence Based Course for Library Redesign","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Space (punctuation); Variety (cybernetics); Scope (computer science); World Wide Web","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3392148,0.001943253,0.002163949,0.02056538,0.006357926,0.02336542,0.006675448,0.003484188,0.008570951],"category_scores_gemma":[0.414629,0.001552112,0.001914288,0.01116858,0.004531883,0.02059494,0.01488487,0.007093705,0.002575397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02013,"about_ca_system_score_gemma":0.05996429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006349075,"about_ca_topic_score_gemma":0.0145956,"domain_scores_codex":[0.6273528,0.2817894,0.03089677,0.007365653,0.04627719,0.006318222],"domain_scores_gemma":[0.4100465,0.3984282,0.04520363,0.02879958,0.1047377,0.01278442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001222119,0.002150057,0.03602018,0.008314838,0.0002491471,0.0004784381,0.05624427,0.005464644,0.003096716,0.01775538,0.04645864,0.8225456],"study_design_scores_gemma":[0.002675974,0.01155899,0.09447086,0.0600988,0.001052503,0.00073951,0.2591012,0.06930172,0.02557398,0.06900835,0.4043291,0.002088985],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3213894,0.007786125,0.3902661,0.1334481,0.003587018,0.05301785,0.004500844,0.01050826,0.07549627],"genre_scores_gemma":[0.3301969,0.002158924,0.6416061,0.003210918,0.0002593773,0.0161903,0.001098486,0.0003636086,0.004915345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3392148,"threshold_uncertainty_score":0.8148658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04465185502490523,"score_gpt":0.3478559391393072,"score_spread":0.3032040841144019,"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."}}