{"id":"W2297533009","doi":"10.18438/b8vd0n","title":"Librarian Research: Making it Better?","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Library science; Data science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04260046,0.001378819,0.003497413,0.006593794,0.003361532,0.01391332,0.004299892,0.01347027,0.0892987],"category_scores_gemma":[0.2060991,0.0009086156,0.001995023,0.008321943,0.005874549,0.01915551,0.007929474,0.01160931,0.04209398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007055105,"about_ca_system_score_gemma":0.02172549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804533,"about_ca_topic_score_gemma":0.009715961,"domain_scores_codex":[0.9563801,0.01801373,0.006717682,0.002218011,0.01507352,0.001596928],"domain_scores_gemma":[0.7488046,0.08702125,0.01486461,0.01369772,0.1179682,0.01764364],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000175759,0.00004692333,0.0003526191,0.009953465,0.0001418525,0.00005954119,0.0001416115,0.00005262245,0.0001295963,0.007968876,0.8498307,0.1311464],"study_design_scores_gemma":[0.00009593825,0.0001140306,0.001430505,0.0329853,0.0003195749,0.0002704438,0.00121256,0.0001185674,0.0002646046,0.01735945,0.9457418,0.00008717534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0001703264,0.1345939,0.001056151,0.6964181,0.1494041,0.0001067678,0.0006766533,0.0001179414,0.01745596],"genre_scores_gemma":[0.01242474,0.2693885,0.003186668,0.4721036,0.1806747,0.0005563054,0.001442488,0.0002438044,0.05997917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9573995,"threshold_uncertainty_score":0.2987339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2588577150970455,"score_gpt":0.5111315259826059,"score_spread":0.2522738108855604,"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."}}