{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01687207,0.0001750415,0.0003929861,0.02395339,0.0003228833,0.001378934,0.004319257,0.0001069164,0.0007577467],"category_scores_gemma":[0.02282053,0.00009681148,0.0002118642,0.2324928,0.0002168043,0.0003760806,0.001723898,0.0003000177,0.006690468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004517395,"about_ca_system_score_gemma":0.0001837925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594438,"about_ca_topic_score_gemma":0.00007831585,"domain_scores_codex":[0.9893358,0.000302419,0.000845096,0.000704304,0.008034375,0.0007779621],"domain_scores_gemma":[0.9891081,0.006649011,0.0003743773,0.001497097,0.001850384,0.0005210098],"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":[0.00008332394,0.000111723,0.05663559,0.000006367226,0.0000798592,0.0001004202,0.001549408,0.0004851645,0.01614424,0.001321132,0.7004679,0.2230149],"study_design_scores_gemma":[0.001375078,0.0004374577,0.1329713,0.0001212566,0.00003056286,0.00001528757,0.00214191,0.007481138,0.1085627,0.1054462,0.6408023,0.0006148359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812012,0.0008720158,0.0004163535,0.01043147,0.001039344,0.0002973134,0.0001756208,0.00006917444,0.005497491],"genre_scores_gemma":[0.9894142,0.0006626209,0.0003910426,0.0005914588,0.0002995958,0.00001866903,0.00000915122,0.00002081377,0.008592484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2224,"threshold_uncertainty_score":0.9996578,"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."}}