{"id":"W4409601997","doi":"10.61091/jcmcc127b-065","title":"Construction of Big Data-Driven Students’ Career Planning and Innovation and Entrepreneurship Education Path by Integrating Support Vector Machine Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Path (computing); Support vector machine; Big data; Computer science; Career path; Entrepreneurship education; Algorithm; Artificial intelligence; Industrial engineering; Mathematics education; Knowledge management; Engineering management; Engineering; Data mining; Mathematics; Business","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":[0.001094413,0.0002067299,0.0005026481,0.00040748,0.0001810135,0.0002391592,0.0008193254,0.0001652834,4.404538e-7],"category_scores_gemma":[0.0008897817,0.0001924546,0.00002849247,0.0006691432,0.0001281843,0.0003824449,0.001173656,0.0004758054,4.995814e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006553242,"about_ca_system_score_gemma":0.0002266209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113563,"about_ca_topic_score_gemma":1.947326e-7,"domain_scores_codex":[0.9980237,0.00007182967,0.0009747163,0.0002989927,0.0004285781,0.0002022034],"domain_scores_gemma":[0.9973727,0.000484866,0.001155847,0.0004000661,0.0005253371,0.00006114068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001614031,0.0002451172,0.007615265,0.0001692974,0.00008670767,0.000004310729,0.0008830242,0.000005039412,0.0005448295,0.8176449,0.0001563623,0.172629],"study_design_scores_gemma":[0.003601199,0.0009420021,0.0007528717,0.001152326,0.0001313936,0.0001962567,0.001441196,0.03659899,0.00271007,0.9514133,0.0006616072,0.0003988048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4408373,0.0008146454,0.5462658,0.0002040349,0.01140022,0.0002473735,0.000007071793,0.0000554576,0.000168079],"genre_scores_gemma":[0.8937337,0.00004690976,0.1059735,0.00002379625,0.0002007712,0.000001477702,0.000006496733,0.000009745047,0.00000360687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4528964,"threshold_uncertainty_score":0.7848068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248733888154406,"score_gpt":0.2968488855266739,"score_spread":0.2743615466451299,"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."}}