{"id":"W3116027324","doi":"10.1080/14480220.2020.1860304","title":"Preparing for skill transfer: a decision tree tool for curriculum design and assessment of virtual offshore emergency egress training","year":2020,"lang":"en","type":"article","venue":"International Journal of Training Research","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Training (meteorology); Benchmark (surveying); Curriculum; Virtual training; Computer science; Decision tree; Transfer of training; Variety (cybernetics); Tree (set theory); Engineering management; Medical education; Knowledge management; Engineering; Virtual reality; Machine learning; Artificial intelligence; Psychology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01206644,0.001599285,0.001016907,0.004603743,0.0006149318,0.001940488,0.001493762,0.0007276519,0.007613439],"category_scores_gemma":[0.04481545,0.0008661291,0.00152888,0.001747426,0.0004020352,0.001783327,0.001776546,0.001343058,0.0009055889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792396,"about_ca_system_score_gemma":0.002702388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247117,"about_ca_topic_score_gemma":0.004706092,"domain_scores_codex":[0.9941841,0.003510689,0.0007818095,0.0005261292,0.0008010758,0.0001961792],"domain_scores_gemma":[0.9599875,0.03137701,0.002562055,0.001131676,0.004029142,0.0009125386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002422331,0.002868453,0.02792123,0.002394948,0.0005396962,0.0002293413,0.003145435,0.09274353,0.01289902,0.008059896,0.01779635,0.8289798],"study_design_scores_gemma":[0.001598578,0.003822347,0.02562892,0.0007029987,0.0006950203,0.0001652302,0.001787602,0.8946505,0.01927642,0.01977514,0.03166359,0.0002337409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1839566,0.0002282786,0.7723302,0.0006407163,0.0001657196,0.01433352,0.009039486,0.01192222,0.007383293],"genre_scores_gemma":[0.1204804,0.00007602852,0.8683675,0.00005413605,0.00001091947,0.007924941,0.002138423,0.0002028624,0.0007447357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01206644,"threshold_uncertainty_score":0.06381416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2385844845873859,"score_gpt":0.5283314412120143,"score_spread":0.2897469566246283,"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."}}