{"id":"W4312880117","doi":"10.18438/b8s900","title":"Call for Classic Research Studies: Evidence Based Library and Information Practice","year":2008,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Citation; NOMINATE; Commit; Value (mathematics); Medical library; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2161899,0.002669912,0.005707836,0.01909426,0.007919652,0.03993645,0.007996463,0.03062395,0.05764652],"category_scores_gemma":[0.4481549,0.003081384,0.004917158,0.01682263,0.02218015,0.04540949,0.02213502,0.03161633,0.04045299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01618133,"about_ca_system_score_gemma":0.0202201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559461,"about_ca_topic_score_gemma":0.003719816,"domain_scores_codex":[0.8231552,0.08943729,0.03020098,0.008933888,0.04600484,0.002267895],"domain_scores_gemma":[0.4134784,0.3894585,0.03188558,0.04677026,0.08898945,0.02941775],"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":[0.00008530254,0.00005486812,0.0001205101,0.007230949,0.00007168884,0.0002052245,0.001858742,0.0000543089,0.0002873817,0.02194977,0.8779181,0.09016327],"study_design_scores_gemma":[0.0001082559,0.00005862613,0.000230469,0.01288477,0.00005133916,0.0003880172,0.002544755,0.00008893203,0.0001163019,0.04233863,0.9411218,0.00006819051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0005054255,0.1238136,0.01238057,0.687488,0.1450638,0.002371573,0.0003653936,0.001221732,0.02678996],"genre_scores_gemma":[0.01524502,0.1486793,0.1000486,0.5170363,0.1368922,0.008987772,0.0009167536,0.001959174,0.07023497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2161899,"threshold_uncertainty_score":0.9665774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08251876849410464,"score_gpt":0.3241355500338249,"score_spread":0.2416167815397202,"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."}}