{"id":"W2160381050","doi":"10.1145/337180.337823","title":"Beg, borrow, or steal (workshop session)","year":2000,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick; University of Victoria; National Research Council Canada","funders":"","keywords":"Session (web analytics); Computer science; Computer security; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001675277,0.00009042345,0.00008683238,0.00006537983,0.00006702479,0.0001372093,0.00086346,0.00005273402,0.003517241],"category_scores_gemma":[0.000156927,0.00006234838,0.00003061477,0.000497977,0.00001831426,0.000338464,0.0001489181,0.0001652426,0.001102091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003223482,"about_ca_system_score_gemma":0.00007679367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001745105,"about_ca_topic_score_gemma":0.000006563348,"domain_scores_codex":[0.9989192,0.00002449281,0.0001092803,0.0002747782,0.0003462907,0.0003259422],"domain_scores_gemma":[0.998746,0.0005096342,0.000007675322,0.0005632515,0.00003272287,0.0001407635],"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":[0.00002750857,0.0001126992,0.003910738,0.00002274746,0.00001939202,0.0002027418,0.0005613488,0.001966922,0.0001572342,0.004918718,0.08492554,0.9031744],"study_design_scores_gemma":[0.002115626,0.0004571381,0.120079,0.000186572,0.000008386742,0.0003357988,0.0001034569,0.2595927,0.006902142,0.001523027,0.6070956,0.00160053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.208795,0.0001455244,0.7619274,0.003788786,0.0006700038,0.0002963033,0.00000141913,0.002683905,0.02169162],"genre_scores_gemma":[0.7743384,0.00002991769,0.1056102,0.0004615385,0.0001732207,0.00002378537,0.000001464108,0.00002031094,0.1193412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9015739,"threshold_uncertainty_score":0.9996757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243000999995121,"score_gpt":0.2951911096943852,"score_spread":0.2708910096948731,"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."}}