{"id":"W1966005845","doi":"10.1111/j.1750-3841.2007.00434.x","title":"Citation Index Identifies Highly Cited Investigators in Food Science","year":2007,"lang":"en","type":"editorial","venue":"Journal of Food Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Science Citation Index; Bibliometrics; Impact factor; Citation analysis; Index (typography); Citation index; Library science; Computer science; Medical education; Political science; Medicine; World Wide Web","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.2098763,0.0004304048,0.001018205,0.3361043,0.0009064233,0.01208355,0.01668127,0.0005963524,0.00004905716],"category_scores_gemma":[0.4844757,0.0003106795,0.0003283307,0.5324502,0.006089111,0.007050347,0.001752076,0.003198869,0.0000554068],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168003,"about_ca_system_score_gemma":0.01878634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005904886,"about_ca_topic_score_gemma":0.0001455562,"domain_scores_codex":[0.9091725,0.0003324314,0.003355053,0.001591081,0.08378576,0.001763192],"domain_scores_gemma":[0.9076518,0.01982848,0.005787165,0.001958556,0.06194371,0.002830324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001415233,0.0003872834,0.009787949,0.00004229066,0.00003496524,0.0001455804,0.001631736,0.0002976745,0.01522231,0.0007478399,0.9377406,0.03382024],"study_design_scores_gemma":[0.006984839,0.0153205,0.338346,0.001524494,0.00007993286,0.0002101295,0.008069264,0.004512275,0.07809705,0.1449961,0.3980766,0.003782754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5007774,0.0007738785,0.0008247193,0.0002046811,0.4962146,0.0002116213,0.00003874675,0.00001103001,0.0009433771],"genre_scores_gemma":[0.9130027,0.0002135827,0.0008082826,0.00006053206,0.08565508,0.000003033059,0.000001560069,0.00002121618,0.0002340416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.539664,"threshold_uncertainty_score":0.9999346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3666653824894532,"score_gpt":0.5368220584075079,"score_spread":0.1701566759180546,"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."}}