{"id":"W4389342643","doi":"10.23977/aetp.2023.071616","title":"Research on the Cultivation Model of Innovation and Entrepreneurship Ability for Accounting Majors in the Context of Big Data","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Creativity; Context (archaeology); Scope (computer science); Big data; China; Business; Curriculum; Accounting; Marketing; Economics; Political science; Economic growth; Finance; Computer 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":[0.001673296,0.0003995106,0.0003495492,0.002220914,0.0009792065,0.002716113,0.0007204016,0.0007670402,0.004266085],"category_scores_gemma":[0.005995349,0.000191514,0.0008565921,0.001606433,0.001478768,0.003311113,0.001325119,0.001239755,0.000393521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266202,"about_ca_system_score_gemma":0.002332942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496409,"about_ca_topic_score_gemma":0.005256632,"domain_scores_codex":[0.9992363,0.0002258138,0.00003647572,0.000163083,0.0001151064,0.0002233007],"domain_scores_gemma":[0.9943857,0.002898406,0.0007663507,0.0002424793,0.0007833063,0.0009237019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001226618,0.0008094987,0.8611751,0.0001685959,0.0001116063,0.0004720458,0.008321377,0.004104425,0.001083777,0.06217071,0.00154188,0.05991839],"study_design_scores_gemma":[0.0000419422,0.0004755328,0.8492159,0.0002289889,0.0002180809,0.0004607312,0.02071614,0.07392316,0.001075775,0.04898973,0.004575167,0.00007888996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774454,0.0003384785,0.005822065,0.001228241,0.00003205046,0.00007556057,0.00009389837,0.00002640236,0.01493792],"genre_scores_gemma":[0.9983486,0.0001605377,0.0005667076,0.00002735394,0.000008087412,0.00003167742,0.00004576128,0.000002114673,0.0008092107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005496409,"threshold_uncertainty_score":0.01644248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2445651550613894,"score_gpt":0.4751087858436874,"score_spread":0.230543630782298,"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."}}