{"id":"W4405674834","doi":"10.24908/pceea.2024.18542","title":"Navigating the Software Engineering Landscape: A Career Mentorship Program for Academic-to-Industry Transition","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Thompson Rivers University","keywords":"Mentorship; Transition (genetics); Engineering management; Software; Engineering; Engineering ethics; Software engineering; Sociology; Medical education; Medicine; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000955419,0.0001796877,0.0001340547,0.0001574539,0.000176126,0.0004729199,0.0007619237,0.00029561,0.000003758249],"category_scores_gemma":[0.00195605,0.0001510211,0.000112808,0.001003296,0.000005862683,0.000561425,0.00004515189,0.0009785068,0.000002814461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009449003,"about_ca_system_score_gemma":0.0004296765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008789541,"about_ca_topic_score_gemma":0.0001578279,"domain_scores_codex":[0.9987229,0.000006376271,0.0002709935,0.0002725369,0.0003412559,0.0003859362],"domain_scores_gemma":[0.998872,0.0003085445,0.0001315034,0.0001534797,0.0003411126,0.0001933607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001840538,0.0002535482,0.04062134,0.007030063,0.001288407,0.000002809507,0.06470937,0.08517985,0.007160057,0.205553,0.330573,0.2576101],"study_design_scores_gemma":[0.0002997332,0.0001657556,0.02596948,0.003458157,0.0002356942,0.00005646338,0.000542862,0.4234855,0.009761021,0.001089246,0.5336309,0.001305164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4850383,0.003842669,0.2532804,0.2147332,0.02141853,0.01064329,0.0002530653,0.01023821,0.0005523074],"genre_scores_gemma":[0.9305719,0.000009260684,0.06721422,0.0004495469,0.0005656164,0.0008856382,0.00001012708,0.00005769588,0.0002360584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4455335,"threshold_uncertainty_score":0.6158461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268081457795022,"score_gpt":0.2735327973159545,"score_spread":0.2608519827380043,"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."}}