{"id":"W2005582439","doi":"10.1177/016555150002600503","title":"Features of DESCRIPTION META tags in public home pages","year":2000,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Web and Library Services","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Noun phrase; Computer science; Sample (material); Information retrieval; Noun; Web page; World Wide Web; Natural language processing; Proper noun; Linguistics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848692,0.0001727818,0.0002490463,0.0040953,0.00041245,0.001495006,0.0003105516,0.0003695449,0.002801224],"category_scores_gemma":[0.01680089,0.0002551446,0.0001752757,0.004698154,0.0004184058,0.00182592,0.0008838098,0.0003305338,0.001016035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005712454,"about_ca_system_score_gemma":0.0004457922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695814,"about_ca_topic_score_gemma":0.0026378,"domain_scores_codex":[0.9978143,0.0007201788,0.0004380787,0.0001818133,0.0006652028,0.0001804521],"domain_scores_gemma":[0.9607294,0.02205733,0.01136681,0.002231424,0.002925562,0.0006894299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122231,0.0002089765,0.8788945,0.0005020665,0.00007920228,0.001238831,0.009797942,0.0004004018,0.01035042,0.002631674,0.005335316,0.08933838],"study_design_scores_gemma":[0.0000504334,0.0003061901,0.9264825,0.0003529506,0.0001451803,0.004143856,0.01292038,0.003339248,0.01033766,0.001947212,0.03989208,0.00008233359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916108,0.0003676867,0.001359241,0.0001083802,0.00001722057,0.00004273145,0.003463531,0.0001108534,0.002919424],"genre_scores_gemma":[0.9925086,0.0001583773,0.001790996,0.00005822688,0.00002113088,0.00005908536,0.003939563,0.00008662246,0.001377394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0040953,"threshold_uncertainty_score":0.00977695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770986036708386,"score_gpt":0.2317175812579604,"score_spread":0.2040077208908765,"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."}}