{"id":"W4247999594","doi":"10.18438/b8q60b","title":"The 7th International Evidence Based Library and Information Practice Conference (EBLIP7): Conference Commentaries and Reflections","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.09156863,0.001730484,0.001417428,0.002329672,0.008533463,0.01673638,0.006948976,0.04244748,0.03178674],"category_scores_gemma":[0.1984482,0.001067241,0.004310046,0.003582433,0.004540388,0.01159556,0.01153897,0.06411855,0.01172401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01487719,"about_ca_system_score_gemma":0.02729959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009794798,"about_ca_topic_score_gemma":0.01565601,"domain_scores_codex":[0.9441173,0.01764822,0.005370411,0.003513784,0.02243068,0.006919539],"domain_scores_gemma":[0.7858818,0.1038486,0.007040326,0.005750861,0.07636812,0.02111023],"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":[0.0001590038,0.00004278628,0.0001613792,0.0005810807,0.0000272336,0.0001419877,0.0006537869,0.00005264127,0.0002658246,0.001481055,0.9902685,0.006164872],"study_design_scores_gemma":[0.00009036373,0.0000679685,0.001161656,0.002104419,0.000110722,0.00009950539,0.003245632,0.0001330236,0.001125177,0.001657749,0.9900959,0.0001078368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007397192,0.005008263,0.0007030885,0.8572866,0.1279859,0.0001775727,0.000444079,0.00007253664,0.007582158],"genre_scores_gemma":[0.01470987,0.006267295,0.002279296,0.8729717,0.05955795,0.001226296,0.00095134,0.0005034669,0.04153285],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09156863,"threshold_uncertainty_score":0.484267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099951171990571,"score_gpt":0.4383940946208941,"score_spread":0.328398977421837,"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."}}