{"id":"W6929127223","doi":"10.48550/arxiv.1906.11015","title":"Comparing Popularity of Testing Careers among Canadian, Chinese, Indian Students","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Relevance (law); Dimension (graph theory); Vitality; Human Dimension; Process (computing); Software; Focus (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001439808,0.0002595254,0.0003039438,0.005430043,0.00340775,0.002624371,0.00143557,0.0008018895,0.008334442],"category_scores_gemma":[0.008044047,0.0001863737,0.000412131,0.006602654,0.001385261,0.000881075,0.00104218,0.001203894,0.001293709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007635259,"about_ca_system_score_gemma":0.01292836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7755548,"about_ca_topic_score_gemma":0.8724122,"domain_scores_codex":[0.9978194,0.0001505701,0.00007763335,0.0002169798,0.0008296423,0.0009057361],"domain_scores_gemma":[0.9858146,0.001282806,0.002105855,0.0003060005,0.003968852,0.006521903],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001602039,0.0001004517,0.9464716,0.00007074642,0.00002083536,0.000223458,0.01460801,0.00006545832,0.0003023563,0.001039224,0.006257867,0.0306798],"study_design_scores_gemma":[0.00000471718,0.00004916933,0.9763955,0.00005949274,0.00001240712,0.0001311268,0.0172636,0.0002014801,0.0001098074,0.0000723773,0.005672425,0.00002787731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826042,0.0009456624,0.00007551819,0.001595926,0.00007567594,0.00002298389,0.00172548,0.00003544009,0.0129191],"genre_scores_gemma":[0.9931231,0.000580035,0.0000798656,0.0001968889,0.00002619855,0.000009270833,0.0006417629,0.00002154366,0.005321318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9985602,"threshold_uncertainty_score":0.451534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08113061635724521,"score_gpt":0.2153302575171784,"score_spread":0.1341996411599332,"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."}}