{"id":"W2808029430","doi":"10.1145/3183377.3183380","title":"Dimensions of experientialism for software engineering education","year":2018,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Capstone; Experiential learning; Join (topology); Computer science; Software; Software engineering; Capstone course; Software walkthrough; Personal software process; Engineering education; Open source; Social software engineering; Mathematics education; Engineering management; Software development; Software construction; Engineering; Psychology; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00003173664,0.00006162609,0.00006674901,0.00006686872,0.00001708537,0.000004745468,0.00005036183,0.00004716503,0.00007160552],"category_scores_gemma":[0.00005500683,0.00005089176,0.00002815184,0.0001088061,0.00001913206,0.00004719559,0.000006731549,0.00002572003,0.000009475449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718155,"about_ca_system_score_gemma":0.0000192062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006153581,"about_ca_topic_score_gemma":8.153126e-7,"domain_scores_codex":[0.999665,9.448253e-7,0.0001130836,0.00006487247,0.00005082805,0.0001052856],"domain_scores_gemma":[0.99975,0.00002521056,0.000007658722,0.0001045864,0.00005971462,0.00005281644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002382838,0.000505249,0.0006704064,0.004781325,0.0002474702,2.299012e-7,0.007378443,0.004701828,0.431789,0.02872485,0.3815995,0.1395778],"study_design_scores_gemma":[0.0005066908,0.0001880931,0.004125146,0.0003004687,0.00004924125,0.000007958099,0.0004023552,0.1183274,0.3899309,0.0006648265,0.4848447,0.000652225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3685435,0.0003181119,0.6240773,0.00007334939,0.005589322,0.0002142179,0.000009298376,0.0006353606,0.0005395453],"genre_scores_gemma":[0.9403473,0.0000105296,0.0588611,0.00002192515,0.0003979964,0.00006544508,0.00002019188,0.00002060051,0.0002549215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5718038,"threshold_uncertainty_score":0.2075306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006646016119224685,"score_gpt":0.2257076071696523,"score_spread":0.2190615910504276,"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."}}