{"id":"W1514869427","doi":"10.18438/b8d89n","title":"EBLIP Returns Down Under","year":2014,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Econometrics; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006151872,0.001117663,0.002146333,0.003701491,0.001985952,0.0120979,0.001893568,0.007277159,0.4980422],"category_scores_gemma":[0.0474516,0.0008403094,0.001837537,0.002641615,0.001425523,0.00645791,0.004671677,0.005227596,0.5003104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298535,"about_ca_system_score_gemma":0.004134638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426718,"about_ca_topic_score_gemma":0.002776204,"domain_scores_codex":[0.9942311,0.0007417793,0.0003460342,0.000639166,0.002970214,0.001071585],"domain_scores_gemma":[0.9832094,0.00409854,0.0005176297,0.004347352,0.005961879,0.001865259],"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":[0.000681351,0.00008679296,0.0007544347,0.0002262613,0.00003541936,0.0003175798,0.00005173119,0.0001886889,0.000904969,0.02206032,0.8932623,0.08142999],"study_design_scores_gemma":[0.0001455504,0.0001148563,0.001383034,0.0001658413,0.00004478625,0.0004701029,0.0001107435,0.001006302,0.002829874,0.02264919,0.9710131,0.00006666085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005883113,0.001645369,0.01832636,0.0544492,0.03327794,0.0006426931,0.01852192,0.01721426,0.8500392],"genre_scores_gemma":[0.02879132,0.0009642482,0.004094479,0.01139742,0.005628416,0.0002591836,0.006977009,0.004305354,0.9375825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4980422,"threshold_uncertainty_score":0.715982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394401542650961,"score_gpt":0.244971606766729,"score_spread":0.2310275913402194,"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."}}