{"id":"W3098283026","doi":"","title":"Studies on the Software Testing Profession","year":2019,"lang":"en","type":"preprint","venue":"Scholarship@Western (Western University)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Software testing; Software; Software peer review; Knowledge management; Set (abstract data type); Software development; Computer science; Software engineering; Software construction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001231881,0.0006066578,0.0005332757,0.000464779,0.0004321847,0.000764833,0.004286676,0.0004727225,0.000003597067],"category_scores_gemma":[0.001230284,0.0004879233,0.0002006095,0.000645649,0.00008786457,0.001419811,0.00621129,0.002653312,0.0002075091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432299,"about_ca_system_score_gemma":0.0002617999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002307204,"about_ca_topic_score_gemma":0.00002857384,"domain_scores_codex":[0.9967408,0.0005826486,0.0003562827,0.001136652,0.0006618636,0.0005218182],"domain_scores_gemma":[0.9939204,0.002593249,0.0006401347,0.002312387,0.0003946448,0.0001392172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006057685,0.0001597684,0.9834186,0.0008574444,0.0004290774,0.0005567637,0.002311878,0.005336357,0.00009802517,0.002258346,0.00004026224,0.004472861],"study_design_scores_gemma":[0.00189518,0.001669127,0.9190506,0.02207264,0.0006491692,0.0002035065,0.001401431,0.0002853085,0.01244584,0.01663001,0.01721694,0.006480233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002576,0.0003923468,0.09215285,0.001412277,0.00267763,0.0008981575,0.00001636153,0.002089694,0.0001030307],"genre_scores_gemma":[0.9816751,0.0001690172,0.01298166,0.0009695369,0.0002511426,0.00001620154,0.00001297812,0.0000919437,0.003832395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08141747,"threshold_uncertainty_score":0.9997572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2341547770115892,"score_gpt":0.3694915809997515,"score_spread":0.1353368039881624,"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."}}