{"id":"W2570277920","doi":"10.5539/jel.v6n2p69","title":"Using Academia-Industry Partnerships to Enhance Software Verification &amp; Validation Education via Active Learning Tools","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Plan (archaeology); General partnership; Computer science; Engineering management; Active learning (machine learning); Class (philosophy); Software; Lesson plan; Knowledge management; Software engineering; Engineering; Business; Artificial intelligence; Pedagogy; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04981969,0.0009848801,0.0004178665,0.003511211,0.004649691,0.009915027,0.004093622,0.003285223,0.01086097],"category_scores_gemma":[0.0499563,0.0009585407,0.0007038074,0.0022383,0.002022404,0.008364863,0.02633507,0.004480627,0.004558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003299802,"about_ca_system_score_gemma":0.02234506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718322,"about_ca_topic_score_gemma":0.001429765,"domain_scores_codex":[0.9548597,0.02967383,0.001261291,0.002713906,0.006179553,0.005311696],"domain_scores_gemma":[0.9006,0.03501026,0.007764063,0.009611837,0.01284225,0.03417162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003288898,0.01837035,0.03236753,0.0007269671,0.00007374465,0.001847041,0.02925875,0.00386319,0.01510389,0.02467204,0.01455686,0.8588307],"study_design_scores_gemma":[0.002125614,0.02922967,0.07407384,0.00281247,0.0002464047,0.006470635,0.1424894,0.03505401,0.06247656,0.0780834,0.5664603,0.0004777364],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5754652,0.002117731,0.2817343,0.03486646,0.0008932754,0.006669833,0.0001556449,0.002727825,0.09536985],"genre_scores_gemma":[0.8419433,0.0007175152,0.1367034,0.001508203,0.0001573509,0.001711474,0.0001638528,0.0001880331,0.01690676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04981969,"threshold_uncertainty_score":0.2634749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2444889188662688,"score_gpt":0.522262390049766,"score_spread":0.2777734711834972,"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."}}