{"id":"W2357887151","doi":"","title":"Investigation and analysis of agricultural journals in Chinese universities","year":2015,"lang":"en","type":"article","venue":"Bianji xuebao","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"China; Period (music); Publishing; Agriculture; Cultural revolution; Political science; Economic growth; Sustainable development; Quality (philosophy); Recession; Geography; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006038531,0.0003906685,0.0008271584,0.07375928,0.001997085,0.003021721,0.000728075,0.0003782227,0.0019639],"category_scores_gemma":[0.02495776,0.000256832,0.0008116942,0.07621749,0.0008763132,0.001834241,0.001027,0.0003072693,0.0002416898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004138722,"about_ca_system_score_gemma":0.01190704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334454,"about_ca_topic_score_gemma":0.02077315,"domain_scores_codex":[0.990887,0.001372827,0.002205758,0.0006374518,0.004371338,0.0005255882],"domain_scores_gemma":[0.9487613,0.01885305,0.01278038,0.0007217409,0.01721963,0.001663773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002747782,0.0001803446,0.7163776,0.02184759,0.0007702128,0.002733813,0.0158808,0.0005699915,0.00285287,0.005910867,0.009216922,0.2233843],"study_design_scores_gemma":[0.0000198769,0.0001091946,0.9577243,0.00153728,0.0008017801,0.0007507637,0.01114705,0.0005124762,0.00125534,0.0006060252,0.02548312,0.00005278483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796453,0.07669441,0.001228499,0.001946937,0.0003251974,0.0007924194,0.008831199,0.0000745537,0.03046155],"genre_scores_gemma":[0.9624956,0.02861994,0.002056796,0.000344837,0.0003328779,0.0003845481,0.003637906,0.00001098858,0.00211658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9262407,"threshold_uncertainty_score":0.03193521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151583114585691,"score_gpt":0.3466705879042135,"score_spread":0.2751547567583566,"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."}}