{"id":"W2100336974","doi":"10.18438/b86g6q","title":"Summon, EBSCO Discovery Service, and Google Scholar: A Comparison of Search Performance Using User Queries","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Service (business); Relevance (law); Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01095444,0.0006914344,0.001197145,0.007678021,0.0007022169,0.003692028,0.001006614,0.000924726,0.001385769],"category_scores_gemma":[0.06468308,0.000310453,0.0006338264,0.009036798,0.0006912602,0.003934075,0.00155235,0.0005342876,0.0009287338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907489,"about_ca_system_score_gemma":0.002126441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02915633,"about_ca_topic_score_gemma":0.02824458,"domain_scores_codex":[0.9854046,0.005528219,0.001750515,0.0008284238,0.005839252,0.0006489698],"domain_scores_gemma":[0.9182457,0.06201051,0.005243457,0.002424724,0.009880694,0.002194922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01799363,0.002319414,0.6815297,0.004067061,0.001197105,0.0007934428,0.009944466,0.006260187,0.01265372,0.002146189,0.02198359,0.2391116],"study_design_scores_gemma":[0.0009960389,0.009092367,0.8514676,0.0003752922,0.0008676916,0.001601669,0.0146382,0.08162154,0.02270496,0.001268605,0.0148369,0.0005291548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907286,0.0009548112,0.0005655656,0.0002308243,0.00002494557,0.0001365691,0.00156917,0.0005234104,0.005266124],"genre_scores_gemma":[0.9924179,0.0003962322,0.003006048,0.0001117838,0.0000318036,0.0001099089,0.002747468,0.0000876347,0.001091181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.996308,"threshold_uncertainty_score":0.05797327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04918795357170431,"score_gpt":0.2834177424738806,"score_spread":0.2342297889021763,"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."}}