{"id":"W2011758729","doi":"10.1300/j111v46n03_04","title":"It's All Academic: Google Scholar, Scirus, and Windows Live Academic Search","year":2008,"lang":"en","type":"article","venue":"Journal of Library Administration","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"World Wide Web; Search engine; Computer science; Information retrieval; Set (abstract data type); Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008572718,0.0001370991,0.0002122832,0.0002892007,0.0002627169,0.0004091848,0.001134152,0.0001779331,0.00005279857],"category_scores_gemma":[0.00005898387,0.0001118124,0.00007254989,0.0004801184,0.0001116662,0.0498931,0.0001852273,0.0009975537,0.00008219498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001618013,"about_ca_system_score_gemma":0.0008835765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.220741e-7,"about_ca_topic_score_gemma":7.022003e-8,"domain_scores_codex":[0.9977787,0.0001625632,0.0009057374,0.0001872819,0.0007153511,0.0002503416],"domain_scores_gemma":[0.9987227,0.0001104704,0.0005518853,0.0002110226,0.00007646683,0.000327455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005978721,0.000342417,0.3619094,0.0002759627,0.0002251439,0.0009949727,0.1182537,0.0005554699,0.01792244,0.05147937,0.4048776,0.0425657],"study_design_scores_gemma":[0.003057461,0.004190434,0.1757716,0.0006080235,0.00001972463,0.02081498,0.003878534,0.02717816,0.08328894,0.0047155,0.6752206,0.00125601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611949,0.0008597941,0.00683264,0.0249804,0.0006080072,0.00023685,0.000005867955,0.00008056303,0.005200977],"genre_scores_gemma":[0.985162,0.001298922,0.007890638,0.004254527,0.0004541377,0.000001906535,0.000005267869,0.000007529114,0.0009250388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.270343,"threshold_uncertainty_score":0.9633955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600662885266415,"score_gpt":0.3017999260761464,"score_spread":0.2357932972234822,"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."}}