{"id":"W4317000320","doi":"10.1145/3573074.3573100","title":"MSR4P&S 2022 Workshop Summary","year":2023,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Event (particle physics); Software engineering; Software; Joint (building); Engineering; Computer science; Software security assurance; Library science; Engineering management; Information security; Computer security; Operating system; Civil engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008805063,0.0002152297,0.0002129869,0.0002679248,0.0005419413,0.0001541415,0.001093874,0.0002315058,0.000267593],"category_scores_gemma":[0.3022027,0.0002447368,0.0001088749,0.001339383,0.00008364079,0.0004952452,0.0007131092,0.0003862973,0.0006842928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267933,"about_ca_system_score_gemma":0.0001031091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008742111,"about_ca_topic_score_gemma":0.0004849078,"domain_scores_codex":[0.9981228,0.00007180093,0.0002337693,0.0003987318,0.0005006777,0.0006722916],"domain_scores_gemma":[0.9778485,0.02093085,0.00005961217,0.0008674346,0.00007844794,0.0002151062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009373017,0.0002685402,0.4122627,0.0006209249,0.0002635547,0.0001620046,0.03150395,0.002462803,0.005206084,0.006675526,0.3907081,0.1497721],"study_design_scores_gemma":[0.0004283955,0.00003865788,0.07773895,0.0002091273,0.00004144448,0.000004911291,0.0006158767,0.00008576797,0.0006807217,0.002197075,0.9169452,0.001013913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275699,0.004755378,0.02568103,0.01130698,0.009648258,0.001642817,0.0003548056,0.01875272,0.0002880637],"genre_scores_gemma":[0.9849458,0.00111021,0.0097262,0.0002091331,0.001663513,0.0001395566,0.0003652204,0.0000950866,0.001745304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.526237,"threshold_uncertainty_score":0.9980078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064116797096336,"score_gpt":0.3001873272997182,"score_spread":0.2595461593287549,"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."}}