{"id":"W4210997956","doi":"10.1002/aris.1440390110","title":"Webometrics","year":2005,"lang":"en","type":"article","venue":"Annual Review of Information Science and Technology","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Webometrics; Citation; Library science; World Wide Web; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.002135553,0.0000645351,0.0001563234,0.001891158,0.0001082065,0.00005155563,0.001050662,0.00005404487,0.000007098834],"category_scores_gemma":[0.003679824,0.00005076474,0.0000194553,0.01244394,0.0004305266,0.008945685,0.0003906034,0.00009579137,0.00008733306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003569566,"about_ca_system_score_gemma":0.0002631952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001807966,"about_ca_topic_score_gemma":2.440482e-7,"domain_scores_codex":[0.9987012,0.000005391109,0.0004608536,0.0001125026,0.0005340488,0.0001860552],"domain_scores_gemma":[0.997845,0.00004294463,0.0002200596,0.0004139555,0.001422888,0.00005514785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.389809e-7,0.000005858339,0.00006647054,0.0002061009,6.174293e-7,3.717422e-8,0.000089069,2.796505e-7,0.000007532178,0.2489554,0.0009135919,0.749755],"study_design_scores_gemma":[0.0001291528,0.000157957,0.0006232123,0.0003331674,0.000002909849,0.00003426512,0.000165536,0.002511569,0.003157638,0.001647244,0.991111,0.0001263293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02432187,0.09560002,0.5086674,0.1270865,0.000909704,0.002237231,0.00005574556,0.001259409,0.2398621],"genre_scores_gemma":[0.69733,0.1388614,0.1444062,0.01927451,0.00003066128,0.00002799743,0.000003927853,0.000003403893,0.00006184803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901974,"threshold_uncertainty_score":0.6485406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009365524233614475,"score_gpt":0.2801384555166688,"score_spread":0.2707729312830543,"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."}}