{"id":"W4389473801","doi":"10.1002/agt2.474","title":"From bud to blossom: The incredible journey of <i>Aggregate</i>","year":2023,"lang":"en","type":"article","venue":"Aggregate","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Impact factor; Citation; Directory; Scopus; Quality (philosophy); Library science; Computer science; Political science; Nanotechnology; Physics; Materials science; Law","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":[0.005571309,0.0007692255,0.0006847474,0.001730853,0.01257852,0.02694721,0.001319966,0.005058974,0.02103785],"category_scores_gemma":[0.02333651,0.0005472951,0.0006898022,0.002919919,0.009680144,0.02329916,0.009084102,0.01316572,0.02013586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004754329,"about_ca_system_score_gemma":0.005261831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005553803,"about_ca_topic_score_gemma":0.008792111,"domain_scores_codex":[0.9931437,0.002251069,0.0002976932,0.0009009289,0.002600148,0.0008065638],"domain_scores_gemma":[0.9877978,0.002471671,0.0008154796,0.0009886539,0.003567847,0.004358575],"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":[0.00002454247,0.00001159947,0.000308032,0.00007064932,0.000006304435,0.0001779995,0.009997747,0.00001900779,0.0002094337,0.03662344,0.9382181,0.01433313],"study_design_scores_gemma":[0.000001129514,0.000006032775,0.0002048991,0.0001153966,0.000001989667,0.0001563526,0.003672308,0.00001956842,0.00007255971,0.004236025,0.9915005,0.00001310411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004617759,0.03431249,0.002995488,0.7727894,0.04626052,0.00002847089,0.0003923912,0.000568829,0.1380347],"genre_scores_gemma":[0.1109327,0.03599307,0.007211135,0.4728417,0.04194141,0.0001543332,0.0007227938,0.00346288,0.32674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9982691,"threshold_uncertainty_score":0.0703786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5095492356721106,"score_gpt":0.5414667035550386,"score_spread":0.03191746788292793,"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."}}