{"id":"W4379230185","doi":"10.23977/aetp.2023.070320","title":"A talent cultivation approach for improving the future technology management capability of college students","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harbin Engineering University","keywords":"Process (computing); Knowledge management; Perspective (graphical); Talent management; Engineering management; Business; High tech; Engineering ethics; Engineering; Management science; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415724,0.0002541213,0.0001710258,0.001025244,0.001832118,0.002119325,0.0005486003,0.0004915944,0.001792979],"category_scores_gemma":[0.00210105,0.0001011502,0.0003219306,0.0005287487,0.001123339,0.001074631,0.002214004,0.001010434,0.0002479366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970748,"about_ca_system_score_gemma":0.005577423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576156,"about_ca_topic_score_gemma":0.003107416,"domain_scores_codex":[0.9993924,0.0002066931,0.00001695589,0.00007206223,0.0001603798,0.0001515464],"domain_scores_gemma":[0.9988183,0.0002703357,0.0001133047,0.00008344284,0.0002376877,0.000476799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001518753,0.004873114,0.08552157,0.0003276216,0.00005375891,0.0004125423,0.01927075,0.003523159,0.02020873,0.09429641,0.009102887,0.7622576],"study_design_scores_gemma":[0.0003985556,0.003265646,0.4027888,0.001041614,0.0003352005,0.001173242,0.0787945,0.05115418,0.0303195,0.2342219,0.1962276,0.0002792975],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8061509,0.0005393914,0.06082873,0.01284355,0.0001549272,0.0006061748,0.00003888399,0.0002635066,0.1185741],"genre_scores_gemma":[0.9695814,0.000238022,0.02429773,0.0004286508,0.00002117317,0.000187555,0.00001373446,0.00000678898,0.005225047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002119325,"threshold_uncertainty_score":0.01429886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006831617142526187,"score_gpt":0.3021342389645684,"score_spread":0.2953026218220423,"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."}}