{"id":"W1910296595","doi":"10.18438/b89k72","title":"EBLIP and Public Libraries","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health","funders":"","keywords":"Computer science; Library science; World Wide Web; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.000787523,0.0001432053,0.0001227389,0.0003142436,0.000331417,0.004153117,0.0005596788,0.00007407511,0.00009715112],"category_scores_gemma":[0.0007601869,0.0001184042,0.00002468149,0.0008567675,0.0001049175,0.8899492,0.0004129336,0.0001526295,0.000192566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004334241,"about_ca_system_score_gemma":0.0002083003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001825651,"about_ca_topic_score_gemma":1.919271e-9,"domain_scores_codex":[0.9985136,0.0001925946,0.0004543131,0.000133992,0.0003675917,0.000337888],"domain_scores_gemma":[0.997857,0.001029156,0.0003400483,0.0003700714,0.0000443042,0.0003594463],"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":[0.00001450131,0.00001572085,0.005230473,0.00005394562,0.000004674623,3.534306e-7,0.001375873,0.00000345862,0.000006748915,0.9577138,0.005675217,0.02990527],"study_design_scores_gemma":[0.0001782922,0.00006320808,0.01336102,0.00006195193,0.000002372278,0.00007660004,0.001458653,0.01078251,0.000667615,0.0002948483,0.9728494,0.0002034669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01813744,0.008512119,0.3525349,0.5275311,0.001831027,0.000973387,0.00001428121,0.001582598,0.08888313],"genre_scores_gemma":[0.7717128,0.001269478,0.05022009,0.1763148,0.0001832765,0.00003528932,0.00002267005,0.000006589839,0.000235086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9671742,"threshold_uncertainty_score":0.9968807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483813860896237,"score_gpt":0.2371679076189331,"score_spread":0.2123297690099707,"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."}}