{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001781699,0.00008062643,0.0003026415,0.003088948,0.0003235043,0.00002950329,0.0004186627,0.0000808414,0.00002733821],"category_scores_gemma":[0.0008078895,0.00002362553,0.00007014581,0.05648947,0.0007898645,0.0001628593,0.00007743012,0.0002543705,0.000001441906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540136,"about_ca_system_score_gemma":0.00001414257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009442252,"about_ca_topic_score_gemma":0.0001488502,"domain_scores_codex":[0.9986246,0.00006546469,0.0002784903,0.0001770902,0.0006150174,0.000239377],"domain_scores_gemma":[0.998089,0.0005749008,0.0002625045,0.00004489091,0.0009616721,0.0000670088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003402021,0.0001311613,0.04886366,0.000002677894,0.00007783491,0.000001312457,0.00002665121,0.00005764153,0.9028202,0.002336566,0.0008807002,0.04476753],"study_design_scores_gemma":[0.0001006056,0.0005918964,0.988996,0.00001538181,0.00004813285,0.000004698466,0.0003484755,0.00009792468,0.006928829,0.0002903392,0.002515982,0.00006177309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946555,0.00009621213,0.000001318439,0.004046734,0.00004577867,0.00003645425,0.000005674681,0.00001075305,0.001101548],"genre_scores_gemma":[0.999693,0.0000667444,0.00005275883,0.00007635853,0.0000485822,0.00000148158,0.000001940793,1.804414e-7,0.0000590038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9401323,"threshold_uncertainty_score":0.9635653,"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."}}