{"id":"W1994123122","doi":"10.1108/eum0000000007054","title":"‘DESCRIPTION’ META tags in locally linked web pages","year":2001,"lang":"en","type":"article","venue":"Aslib Proceedings","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"World Wide Web; Computer science; Information retrieval; Library science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003984677,0.0004421626,0.0005421989,0.00909743,0.001230528,0.004280753,0.001059264,0.001115122,0.01022904],"category_scores_gemma":[0.02366261,0.0009436934,0.0005211468,0.009863837,0.001207681,0.007654572,0.001823302,0.001218082,0.006294121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421835,"about_ca_system_score_gemma":0.001319593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003281322,"about_ca_topic_score_gemma":0.005292368,"domain_scores_codex":[0.9961935,0.001602539,0.0005837513,0.0003861856,0.001021631,0.000212314],"domain_scores_gemma":[0.9671227,0.01866057,0.004544621,0.006096835,0.003105511,0.0004696396],"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":[0.001700508,0.0002924135,0.08740778,0.002334386,0.0002085268,0.003845256,0.02770603,0.003833429,0.04344538,0.1345935,0.06419931,0.6304335],"study_design_scores_gemma":[0.0001128809,0.0003134606,0.05397148,0.002669288,0.0002807528,0.005321489,0.008979016,0.0144392,0.06021355,0.06230142,0.7911096,0.0002878455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.44237,0.006360642,0.3926101,0.005363159,0.00120038,0.0006387921,0.02847321,0.0222104,0.1007733],"genre_scores_gemma":[0.6993896,0.002734041,0.2159656,0.001714887,0.000405443,0.0003132527,0.02319196,0.009483979,0.0468013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022904,"threshold_uncertainty_score":0.03421956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05529343233793325,"score_gpt":0.2490429788155797,"score_spread":0.1937495464776465,"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."}}