{"id":"W2058472726","doi":"10.1007/s11192-007-1707-y","title":"Why are Websites co-linked? The case of Canadian universities","year":2007,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Similarity (geometry); Context (archaeology); World Wide Web; Sample (material); Set (abstract data type); Co-occurrence; Web page; Computer science; Information retrieval; Geography; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007862701,0.0003592815,0.0007639723,0.01083758,0.03932377,0.02130263,0.003105068,0.007065006,0.008560685],"category_scores_gemma":[0.04786731,0.0004509056,0.0008319364,0.02846077,0.01075494,0.008511947,0.006669715,0.00301742,0.0006544558],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0863305,"about_ca_system_score_gemma":0.09373247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799044,"about_ca_topic_score_gemma":0.9840159,"domain_scores_codex":[0.9858136,0.00266757,0.0003043416,0.0009020839,0.004579014,0.005733459],"domain_scores_gemma":[0.9549149,0.01719891,0.003598767,0.002035764,0.0134775,0.008774084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003628995,0.0002676057,0.1579483,0.000399978,0.0001611966,0.0111867,0.1407942,0.00262208,0.001035647,0.5329869,0.05149574,0.1007388],"study_design_scores_gemma":[0.0001142973,0.00007944194,0.1528926,0.0009198094,0.0003695387,0.002558324,0.4894328,0.005845465,0.001522184,0.05535194,0.2906106,0.0003030121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531649,0.003065024,0.001426157,0.05002894,0.0001308198,0.0001019597,0.0005878712,0.00008083334,0.2914136],"genre_scores_gemma":[0.9889819,0.0007926274,0.000415604,0.0007992404,0.00002764397,0.00001316691,0.00009690136,0.00001481172,0.008858119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9891624,"threshold_uncertainty_score":0.6263745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234576219966546,"score_gpt":0.288850666366687,"score_spread":0.2465049041670215,"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."}}