{"id":"W2129840456","doi":"10.1016/j.joi.2009.03.010","title":"Modeling a century of citation distributions","year":2009,"lang":"en","type":"article","venue":"Journal of Informetrics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Citation; Computer science; Function (biology); Simple (philosophy); Set (abstract data type); Mathematical economics; Econometrics; Mathematics; Epistemology; Library science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004713895,0.0004891062,0.0009685613,0.001953257,0.0008408341,0.004183922,0.002227148,0.003335601,0.003860443],"category_scores_gemma":[0.039685,0.0009284079,0.0008134763,0.002110213,0.002979392,0.009792574,0.002137594,0.003598968,0.0004682223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237394,"about_ca_system_score_gemma":0.001209915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007700848,"about_ca_topic_score_gemma":0.006858651,"domain_scores_codex":[0.99847,0.0009229802,0.0000715208,0.0002448423,0.0001902113,0.0001004515],"domain_scores_gemma":[0.9814813,0.01429737,0.0009247342,0.001765968,0.000932797,0.0005977563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006113195,0.00009979922,0.005341992,0.00007418973,0.0001254599,0.0001224334,0.0005884637,0.2866986,0.0001942732,0.659683,0.006349077,0.0406616],"study_design_scores_gemma":[0.000009976581,0.000008127442,0.0004875993,0.00003096166,0.00001535155,0.0000589192,0.00008510101,0.5196727,0.00007048108,0.474066,0.005477374,0.00001749996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2071691,0.0141591,0.7197979,0.03519363,0.001162564,0.00004531632,0.001094123,0.0006501411,0.02072816],"genre_scores_gemma":[0.9208571,0.007428183,0.05809332,0.001089277,0.001207658,0.00009871828,0.0003620575,0.0002686452,0.01059507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9980468,"threshold_uncertainty_score":0.02492976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318613078372981,"score_gpt":0.2246175135931572,"score_spread":0.1914313828094274,"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."}}