{"id":"W2951102562","doi":"","title":"Content. While we go bigger and beyonder, who holds down the fort for us? A perspective on modeling curricula to promote maintenance and strategic enhancement.","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Curriculum; Engineering ethics; Public relations; Business; Political science; Sociology; Environmental ethics; Marketing; Management; Engineering; Economics; Computer science; Philosophy; Law; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002160976,0.0003040259,0.0002769023,0.0002891608,0.0001703761,0.0001893177,0.000362764,0.0001454257,0.000007427732],"category_scores_gemma":[0.000006001946,0.0002654372,0.00006640557,0.0002382034,0.00006038407,0.0006082532,0.0002336489,0.0003519968,0.00002760524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219592,"about_ca_system_score_gemma":0.00001560736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003542185,"about_ca_topic_score_gemma":0.0002542102,"domain_scores_codex":[0.9986551,0.00003018519,0.0001735858,0.0005181889,0.0001780166,0.0004449486],"domain_scores_gemma":[0.9993166,0.00003185602,0.00006058005,0.000379019,0.000100826,0.0001111044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001020304,0.0005661267,0.8260642,0.001307649,0.001826908,0.0002231031,0.006357597,0.01753287,0.0195393,0.1200294,0.00005690072,0.005475634],"study_design_scores_gemma":[0.05143912,0.01380569,0.62388,0.01175005,0.003156903,0.000234172,0.1072727,0.02687634,0.03343851,0.05911918,0.05494811,0.01407928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878687,0.0001996507,0.008295255,0.0008260909,0.0001844275,0.001383981,0.00001991074,0.0002054932,0.001016542],"genre_scores_gemma":[0.9957061,0.000259726,0.0001459578,0.0002100193,0.0000253759,0.00001874926,0.000005971786,0.00003766029,0.003590419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021842,"threshold_uncertainty_score":0.9999798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07471918598377275,"score_gpt":0.2888668907744967,"score_spread":0.2141477047907239,"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."}}