{"id":"W1637450401","doi":"10.3968/j.hess.1927024020120303.4012","title":"Pre-Warning Student Situation Analysis Based on the Correlation Analysis and the Studies on Its Transformation","year":2012,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Computer science; Statistical analysis; Correlation; Warning system; Key (lock); Mathematics education; Statistics; Psychology; Computer security; Mathematics; Telecommunications","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":[0.004644488,0.0004772047,0.0003751912,0.005494716,0.001104503,0.002438459,0.0004819779,0.0004181176,0.002462642],"category_scores_gemma":[0.01621624,0.0002285533,0.0007674241,0.005278028,0.001666137,0.003082752,0.001345361,0.001052623,0.0002391805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806407,"about_ca_system_score_gemma":0.002675047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810506,"about_ca_topic_score_gemma":0.002878462,"domain_scores_codex":[0.9925283,0.003633317,0.0005787806,0.0006790828,0.00211152,0.0004689209],"domain_scores_gemma":[0.9889607,0.005212786,0.001775613,0.0007156996,0.002818758,0.000516484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002707681,0.0004783008,0.5419014,0.0005541945,0.0003455541,0.0008817695,0.0265447,0.00477846,0.002223623,0.08507456,0.004890952,0.3320557],"study_design_scores_gemma":[0.0000378945,0.0008248812,0.7595424,0.0004939889,0.00034603,0.001597879,0.06858847,0.07243724,0.005668719,0.06405063,0.02608703,0.0003248122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8320811,0.0009987042,0.1335955,0.001947515,0.0001748317,0.0004010181,0.0003234409,0.0001853055,0.03029253],"genre_scores_gemma":[0.9887064,0.0003515022,0.009627039,0.00003265311,0.00003186296,0.0001165722,0.00009999352,0.000009772652,0.001024379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005494716,"threshold_uncertainty_score":0.02456266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241411218097884,"score_gpt":0.3245195478708623,"score_spread":0.2921054356898835,"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."}}