{"id":"W2559164901","doi":"10.5539/jpl.v9n10p133","title":"Analysis of College Research Paper Output Based on InCites Database – Take the Northwestern Polytechnical University for Example","year":2016,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Subject (documents); Engineering management; Computer science; Database; Risk analysis (engineering); Engineering; Business; Library 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003716965,0.0006101162,0.0006338735,0.04282304,0.0007051495,0.004152953,0.0007657333,0.0003967919,0.01001662],"category_scores_gemma":[0.02251724,0.0001827424,0.0004749231,0.07412822,0.0002832343,0.002428443,0.001217717,0.0004385459,0.007432417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179818,"about_ca_system_score_gemma":0.002350685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008261165,"about_ca_topic_score_gemma":0.00728189,"domain_scores_codex":[0.9913714,0.0006912703,0.001557087,0.0009346196,0.004897108,0.0005486648],"domain_scores_gemma":[0.9561642,0.01279594,0.007830326,0.002345788,0.01909144,0.001772314],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000882644,0.0003377442,0.4370991,0.003038254,0.0002406412,0.001023262,0.00154419,0.002565256,0.00490387,0.008081738,0.1879415,0.3523419],"study_design_scores_gemma":[0.00005446314,0.0001448089,0.5656611,0.0003220177,0.0001308315,0.0006037084,0.003406795,0.005227439,0.008715898,0.001829751,0.4137854,0.0001178471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2961374,0.003599419,0.005884067,0.001252899,0.0002744941,0.0003500482,0.6062129,0.003205827,0.08308304],"genre_scores_gemma":[0.3403461,0.00300653,0.01029753,0.000161976,0.0002980902,0.0006479616,0.6235311,0.0005199834,0.0211907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9962831,"threshold_uncertainty_score":0.03350896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05562638426263083,"score_gpt":0.3114229463550472,"score_spread":0.2557965620924164,"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."}}