{"id":"W2072088341","doi":"10.1108/073788309","title":"Measuring the institution's footprint in the web","year":2009,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Webometrics; Computer science; World Wide Web; Ranking (information retrieval); Scholarly communication; Web presence; Order (exchange); Set (abstract data type); Visibility; Data science; Web page; Information retrieval; The Internet; Business; Political science; Publishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002931484,0.0003318451,0.0006322716,0.01665241,0.0006961142,0.006477449,0.0006120655,0.0006983612,0.005083528],"category_scores_gemma":[0.02079416,0.0001723083,0.0003579618,0.02561817,0.0008224514,0.005596441,0.002449077,0.0004040395,0.001926305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009852678,"about_ca_system_score_gemma":0.001007853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911735,"about_ca_topic_score_gemma":0.003625161,"domain_scores_codex":[0.9935586,0.001395763,0.0005328397,0.0005933433,0.003595768,0.0003236945],"domain_scores_gemma":[0.9740268,0.01179593,0.005071715,0.002807842,0.004913428,0.001384263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000182753,0.0002154754,0.7803802,0.0006874241,0.0002750026,0.0001968532,0.002087174,0.004034583,0.003535824,0.009775883,0.003427977,0.1952008],"study_design_scores_gemma":[0.000007787351,0.0002292982,0.938704,0.0002486963,0.0001616257,0.0005573809,0.006767607,0.01500417,0.005850724,0.008832346,0.02355326,0.00008307339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257225,0.00124705,0.01405379,0.0003027951,0.00005002664,0.0001156351,0.006226732,0.0005245085,0.0517569],"genre_scores_gemma":[0.9852115,0.0005402146,0.00828951,0.00004130957,0.00005282718,0.0000728473,0.002960588,0.00008768436,0.002743521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9833476,"threshold_uncertainty_score":0.0170061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023623588428556,"score_gpt":0.221514179800863,"score_spread":0.1912779439165774,"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."}}