{"id":"W2538939498","doi":"10.5703/1288284316238","title":"Summon, EBSCO Discovery Service, and Google Scholar: Comparing Search Performance Using User Queries","year":2016,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Service (business); Search engine; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006406834,0.0005662137,0.0008111986,0.003950057,0.0006007817,0.002069412,0.0008749052,0.001016736,0.001828861],"category_scores_gemma":[0.04728813,0.0002831846,0.0005771116,0.005137161,0.0006957568,0.003546443,0.001223191,0.0008542406,0.001186038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736076,"about_ca_system_score_gemma":0.001487732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03930915,"about_ca_topic_score_gemma":0.02903626,"domain_scores_codex":[0.9934167,0.003028405,0.0007037257,0.0003760982,0.002082596,0.0003925173],"domain_scores_gemma":[0.9353112,0.05123116,0.003613812,0.002501879,0.005349983,0.001991831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03678998,0.007631114,0.6191853,0.00212975,0.001496896,0.0003776748,0.01002775,0.008885192,0.01045981,0.004508322,0.02973931,0.2687688],"study_design_scores_gemma":[0.00126197,0.01296929,0.8936082,0.0001550541,0.0007158241,0.0004418387,0.007474251,0.05583237,0.01339276,0.001636843,0.01209582,0.0004157655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918545,0.000490222,0.0003557666,0.000160992,0.00002306604,0.0001080474,0.001062411,0.0001969057,0.005748044],"genre_scores_gemma":[0.9936758,0.0002680009,0.001573185,0.0001216682,0.00002832375,0.0001228229,0.0018388,0.00008619284,0.002285221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979306,"threshold_uncertainty_score":0.0781607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164348480281714,"score_gpt":0.2770484739927369,"score_spread":0.2254049891899197,"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."}}