{"id":"W3145217934","doi":"","title":"Analysis of World Cherry Research Trend Based on Bibliometrics","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science and Technology","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Agriculture; Geography; Agricultural science; Political science; Library science; Agricultural economics; Biology; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004022889,0.0006391067,0.001043492,0.1239384,0.0008714056,0.004639112,0.0006472721,0.0004670199,0.00371555],"category_scores_gemma":[0.01644824,0.0002427554,0.001197649,0.1620826,0.000448864,0.004035267,0.001447094,0.0004412477,0.001151147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427108,"about_ca_system_score_gemma":0.00199872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038814,"about_ca_topic_score_gemma":0.004999302,"domain_scores_codex":[0.9934286,0.0005790245,0.001347408,0.0008445837,0.003367146,0.0004330952],"domain_scores_gemma":[0.98248,0.00574106,0.004836964,0.0005701467,0.005851148,0.000520661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002867591,0.0001511104,0.6117275,0.009276931,0.001146278,0.001102011,0.003087169,0.002418249,0.004071388,0.009093956,0.02985087,0.3277878],"study_design_scores_gemma":[0.00002882389,0.0001291945,0.8667576,0.000965468,0.0005843807,0.00129314,0.004586376,0.006427017,0.00290961,0.00260414,0.1135741,0.000140188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7165492,0.04463473,0.009233573,0.002870406,0.0003949062,0.0005941392,0.1643689,0.001868847,0.05948537],"genre_scores_gemma":[0.8460172,0.02673503,0.01198746,0.0002618431,0.000533124,0.0007690378,0.1070691,0.0002517847,0.006375459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8760616,"threshold_uncertainty_score":0.02127528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493674949002228,"score_gpt":0.3084382213763788,"score_spread":0.2535014718863565,"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."}}