{"id":"W1564344853","doi":"10.18438/b8d328","title":"Google Scholar Out-Performs Many Subscription Databases when Keyword Searching","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health and Well-being Studies","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Information retrieval; Computer science; Citation; Bibliographic database; Relevance (law); Scopus; Database; Library science; World Wide Web; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001691592,0.0001714485,0.0001579039,0.0002166413,0.0006504713,0.000438097,0.0002200961,0.0001020195,0.001680752],"category_scores_gemma":[0.002818919,0.0001483964,0.00003610523,0.0001970642,0.00009035959,0.1927693,0.0001188843,0.001087137,0.001111877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008129998,"about_ca_system_score_gemma":0.0001691698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007324776,"about_ca_topic_score_gemma":7.828466e-7,"domain_scores_codex":[0.9983001,0.0003223706,0.0004962755,0.0002210012,0.0002918385,0.0003684055],"domain_scores_gemma":[0.9975085,0.001483246,0.0003105263,0.0004386741,0.00006791382,0.0001911737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002442548,0.0002654072,0.03886607,0.0007642243,0.0001086249,0.0000318018,0.01274849,0.00002016806,0.0005884125,0.5904518,0.1153095,0.238403],"study_design_scores_gemma":[0.0004392591,0.0001333583,0.03848131,0.0001505971,0.0000257706,0.00003035833,0.001722133,0.0005828454,0.0004282659,0.0001520659,0.9576597,0.0001943381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5168037,0.003244734,0.01666943,0.2963721,0.00661587,0.001882451,0.0001441259,0.001071857,0.1571957],"genre_scores_gemma":[0.7670857,0.002166012,0.02811614,0.1983387,0.0008038274,0.0001638461,0.0003680952,0.0000391364,0.002918471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8423502,"threshold_uncertainty_score":0.9996659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005566353417621,"score_gpt":0.3451402697464981,"score_spread":0.3050846062123219,"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."}}