{"id":"W2169420254","doi":"10.1002/asi.23286","title":"Who reads research articles? An altmetrics analysis of <scp>M</scp>endeley user categories","year":2015,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Audience measurement; Citation; Altmetrics; Value (mathematics); Citation analysis; Informetrics; Computer science; Library science; Citation impact; Bibliometrics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.1165137,0.00007297668,0.0003522171,0.1112345,0.0004860235,0.001489986,0.002747305,0.0001776338,0.000002581971],"category_scores_gemma":[0.3906786,0.00004293308,0.0001130585,0.3646466,0.0006713009,0.005493413,0.0005267895,0.0003490871,0.000007840712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394485,"about_ca_system_score_gemma":0.001116485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003040486,"about_ca_topic_score_gemma":0.00002106847,"domain_scores_codex":[0.9855328,0.0001797291,0.001175379,0.0001720379,0.01248578,0.0004543279],"domain_scores_gemma":[0.9351295,0.004163708,0.002137244,0.0005105867,0.05779346,0.0002654541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001933465,0.0001128743,0.8338141,0.000005062594,0.0001506645,3.630117e-7,0.003223084,0.0006617159,0.0007218987,0.07420907,0.03095364,0.05612819],"study_design_scores_gemma":[0.001856464,0.00166453,0.457195,0.00001311719,0.0002195764,0.00002123824,0.04684378,0.05260422,0.02446997,0.1433376,0.2716257,0.0001488524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919325,0.0001101763,0.002349009,0.002953846,0.0003600491,0.0001865182,0.00002493229,0.000008636389,0.002074332],"genre_scores_gemma":[0.9985532,0.00008219098,0.0006987373,0.00007062517,0.00002264323,0.000003496073,9.562237e-7,0.000002125653,0.0005660932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3766192,"threshold_uncertainty_score":0.9995466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4475581076986923,"score_gpt":0.5463816071200864,"score_spread":0.09882349942139412,"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."}}