{"id":"W1950766814","doi":"10.1002/asi.23575","title":"The power–law relationship between citation‐based performance and collaboration in articles in management journals: A scale‐independent approach","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":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Universidad del Norte; Universidad Católica del Norte","keywords":"Citation; Citation analysis; Citation impact; Scale (ratio); Bibliometrics; Computer science; Library science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.06151639,0.00005915736,0.0001444026,0.01790213,0.0005233592,0.001764018,0.000948335,0.00009748955,4.425982e-7],"category_scores_gemma":[0.03811484,0.00003304557,0.00002545931,0.06636781,0.0002691578,0.003600356,0.0001865859,0.000261913,0.000002831572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847867,"about_ca_system_score_gemma":0.0003572362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004321991,"about_ca_topic_score_gemma":0.00002564278,"domain_scores_codex":[0.9940333,0.0001136124,0.0009476248,0.0001157594,0.004536784,0.0002529712],"domain_scores_gemma":[0.9915609,0.001606213,0.001175146,0.0001852182,0.005376593,0.00009586407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001774871,0.00001602624,0.9688696,0.000003338449,0.000002892568,7.700751e-8,0.0006470917,0.0004060331,0.000009324293,0.01445539,0.0003378161,0.01523471],"study_design_scores_gemma":[0.001125333,0.0001042099,0.9400641,0.00001570133,0.000004772253,0.000004724227,0.008176398,0.00959987,0.0001706907,0.03678664,0.003894533,0.00005301376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840862,0.0001027113,0.001404681,0.01185773,0.0001871636,0.0003404085,0.00000393857,0.000004238351,0.002012937],"genre_scores_gemma":[0.9987358,0.0000326417,0.001079108,0.00007411734,0.000008160502,0.00001103297,3.134938e-7,0.000001424304,0.00005743543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04846568,"threshold_uncertainty_score":0.9992722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3021124265811342,"score_gpt":0.4858847286269922,"score_spread":0.183772302045858,"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."}}