{"id":"W2024883560","doi":"10.5539/ass.v7n1p186","title":"Analysis and Countermeasures of College English Majors’ Employment Difficulties---Under the Context of Global Financial Crisis","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Context (archaeology); Curriculum; Political science; Mathematics education; Business; Psychology; Economics; Pedagogy; Macroeconomics; Geography","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":[0.001107445,0.0001683292,0.0001917292,0.001621506,0.0007474202,0.001043748,0.0004220542,0.000355461,0.002926187],"category_scores_gemma":[0.006022823,0.00008299933,0.0002013606,0.001287279,0.0005564921,0.000903541,0.001249901,0.0005231458,0.0002936683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009084939,"about_ca_system_score_gemma":0.001561549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008480631,"about_ca_topic_score_gemma":0.01536357,"domain_scores_codex":[0.9993464,0.0002337719,0.00004236481,0.00004723819,0.0001211452,0.0002089945],"domain_scores_gemma":[0.9973399,0.0005010481,0.0009309922,0.00008879926,0.0005570804,0.00058203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002034973,0.0003024926,0.9029122,0.0001660165,0.00003942334,0.0003693289,0.004855325,0.000266026,0.0004364542,0.002191525,0.003484786,0.08477289],"study_design_scores_gemma":[0.000007022894,0.0001120445,0.980171,0.00005204451,0.00001470377,0.00008233754,0.01644703,0.0002717506,0.0002008081,0.0003853547,0.002249527,0.000006401685],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898399,0.0006030609,0.0001011906,0.002626516,0.00004203783,0.00001832121,0.0001393301,0.000004854963,0.006624895],"genre_scores_gemma":[0.9986678,0.0003074717,0.00005289452,0.00009531062,0.00001729336,0.00001087643,0.00008607969,0.00000142032,0.0007608179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008480631,"threshold_uncertainty_score":0.01686257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321228596582352,"score_gpt":0.3091744608433513,"score_spread":0.2959621748775277,"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."}}