{"id":"W1557593546","doi":"10.5539/jsd.v8n5p115","title":"Historical Education in the System of Engineers’ and Technical Specialists’ Training","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Educational Methods and Teacher Development","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Competence (human resources); Training (meteorology); Federal state; Generalization; State (computer science); Training system; Engineering management; Engineering ethics; Political science; Mathematics education; Sociology; Computer science; Public administration; Management; Engineering; Psychology; Geography; Epistemology; Economics; Law; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00408951,0.00008072399,0.000200866,0.0002968304,0.0000436149,0.0000461028,0.0004343679,0.00003948137,5.647925e-7],"category_scores_gemma":[0.000291685,0.00005693876,0.00002547774,0.0003957197,0.00001546187,0.0002290513,0.00007241389,0.0001679165,2.688531e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839177,"about_ca_system_score_gemma":0.004885143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001709347,"about_ca_topic_score_gemma":9.851061e-7,"domain_scores_codex":[0.9985889,0.0001242104,0.0005639112,0.0001007654,0.0004537441,0.0001684289],"domain_scores_gemma":[0.998944,0.0001230836,0.0002673816,0.0001142358,0.0004503915,0.0001009355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004178221,0.0008133085,0.01401949,0.0004024587,0.00005717484,0.0002772829,0.2084884,0.00009505672,0.0001025557,0.6346585,0.01312198,0.127922],"study_design_scores_gemma":[0.001345165,0.000298134,0.4252625,0.0004446617,0.00002271026,0.002418139,0.3241021,0.0001268473,0.0003643181,0.01384543,0.2313063,0.000463586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7023776,0.003411949,0.2766731,0.009048468,0.001893638,0.0005356898,8.260783e-8,0.00002719008,0.006032292],"genre_scores_gemma":[0.6326568,0.000006672972,0.3669202,0.00004298117,0.00008599534,0.000009501223,1.398766e-7,0.000003143868,0.0002745385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6208131,"threshold_uncertainty_score":0.8666034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937530932882281,"score_gpt":0.2894173201033918,"score_spread":0.240042010774569,"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."}}