{"id":"W2211576304","doi":"10.18438/b8tp4m","title":"Knowing How Good Our Searches Are: An Approach Derived from Search Filter Development Methodology","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Resource (disambiguation); Filter (signal processing); Set (abstract data type); World Wide Web; Analytics; Information retrieval; Data 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":["metaresearch"],"category_scores_codex":[0.303995,0.001861439,0.002167042,0.01928667,0.005047612,0.01636769,0.005942111,0.003952269,0.005996665],"category_scores_gemma":[0.4342938,0.002100039,0.002280065,0.01041565,0.008368606,0.01483508,0.009124261,0.003468737,0.001773741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009678138,"about_ca_system_score_gemma":0.02150102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708864,"about_ca_topic_score_gemma":0.00692462,"domain_scores_codex":[0.6217335,0.3103659,0.0268214,0.01294853,0.02588087,0.002249702],"domain_scores_gemma":[0.3616199,0.5368638,0.01787528,0.02810277,0.05289798,0.002640221],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005848807,0.0008269217,0.02034311,0.01046412,0.0006351799,0.000393912,0.1382059,0.003067344,0.00664129,0.1071422,0.009824106,0.701871],"study_design_scores_gemma":[0.001382319,0.003472679,0.03172221,0.02110011,0.002421587,0.001753833,0.1492209,0.08892075,0.04243737,0.3647304,0.2917518,0.001086052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03715422,0.001282118,0.9204162,0.006525383,0.0001319109,0.01562687,0.0004816469,0.001069769,0.0173119],"genre_scores_gemma":[0.06488027,0.0002984063,0.9242586,0.0006298439,0.00003071498,0.008245517,0.0001953299,0.000141356,0.00131998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.696005,"threshold_uncertainty_score":0.8582981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2692659438516948,"score_gpt":0.4005286792042133,"score_spread":0.1312627353525185,"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."}}