{"id":"W4404514816","doi":"10.1145/3689944.3696168","title":"What's in a URL? An Analysis of Hardcoded URLs in npm Packages","year":2023,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; World Wide Web; Information retrieval","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":[0.002439783,0.0003770733,0.0004749172,0.006841412,0.0009603479,0.001944638,0.0006049241,0.001013822,0.000836166],"category_scores_gemma":[0.02866473,0.0003540436,0.0005693107,0.006496977,0.001557936,0.003034717,0.001701865,0.001356242,0.0007326391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008024953,"about_ca_system_score_gemma":0.0005961949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867167,"about_ca_topic_score_gemma":0.00225214,"domain_scores_codex":[0.9966169,0.0007849777,0.0003346397,0.0004541348,0.00151004,0.0002992482],"domain_scores_gemma":[0.9473323,0.03024016,0.009314461,0.006356273,0.00572144,0.001035438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00126156,0.0007799895,0.7403329,0.000882082,0.0001994802,0.008010737,0.009947599,0.009567014,0.02270348,0.0170063,0.01315455,0.1761543],"study_design_scores_gemma":[0.00004144763,0.0004864966,0.7117845,0.0004852756,0.0002466886,0.01191377,0.006573143,0.1636456,0.02723492,0.0199937,0.05730928,0.0002850721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843978,0.0007107909,0.008539534,0.0003478635,0.0000424632,0.00005703443,0.001611179,0.001102189,0.003191023],"genre_scores_gemma":[0.9759732,0.0003468877,0.01707752,0.0001729478,0.00004032183,0.0000496053,0.004061968,0.0005079159,0.001769645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006841412,"threshold_uncertainty_score":0.01290298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086991434910744,"score_gpt":0.3038419838561172,"score_spread":0.2729720695070097,"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."}}