{"id":"W4254867756","doi":"10.31649/2524-1079-2018-3-1-69-74","title":"Fundamentalization of higher technical education for the border: problems and prospects","year":2018,"lang":"en","type":"article","venue":"Health and Safety Pedagogy","topic":"Enterprise Management and Information Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Ukrainian; Context (archaeology); Process (computing); Work (physics); Vocational education; Comparative education; Political science; Curriculum; Product (mathematics); Mathematics education; Sociology; Pedagogy; Engineering; Computer science; Geography; Psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004022285,0.0002505919,0.0003966538,0.001991095,0.003088083,0.007700798,0.000922631,0.001537388,0.007195399],"category_scores_gemma":[0.004455455,0.0001833954,0.0005074588,0.003465924,0.006544692,0.01044572,0.003923053,0.002445037,0.0004130685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006032707,"about_ca_system_score_gemma":0.007808486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004610758,"about_ca_topic_score_gemma":0.001842736,"domain_scores_codex":[0.9978377,0.000830172,0.00008839979,0.0003036323,0.000398038,0.000542075],"domain_scores_gemma":[0.9961663,0.001556088,0.0005817819,0.0004544558,0.0006862772,0.0005551277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006339727,0.0001441766,0.0107476,0.0002189803,0.000009292016,0.0001613531,0.004342562,0.0006749036,0.0003035246,0.8996232,0.001554926,0.08215621],"study_design_scores_gemma":[0.00003303102,0.0003462583,0.06789244,0.001049656,0.00002755019,0.0007767385,0.04093376,0.004449757,0.002295227,0.7109041,0.1712159,0.00007564734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4758743,0.06829905,0.02534667,0.06282797,0.0008933118,0.0001517541,0.0002279223,0.0001305124,0.3662486],"genre_scores_gemma":[0.9838124,0.006599626,0.002624444,0.000546659,0.0001691802,0.00003147939,0.00006839494,0.00001468254,0.006133163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007700798,"threshold_uncertainty_score":0.04377055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635307296047591,"score_gpt":0.3346404365322109,"score_spread":0.308287363571735,"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."}}