{"id":"W4206478242","doi":"10.1080/1750984x.2021.1989705","title":"Citation network analysis","year":2022,"lang":"en","type":"article","venue":"International Review of Sport and Exercise Psychology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Citation; Field (mathematics); Data science; Function (biology); Citation analysis; Foundation (evidence); Computer science; Psychology; Management science; Epistemology; World Wide Web; Political science; Engineering","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01347215,0.001501336,0.002110263,0.0502178,0.002212355,0.007520131,0.002907973,0.001809009,0.05414474],"category_scores_gemma":[0.09578334,0.0005550581,0.003118161,0.05726354,0.000856238,0.004651484,0.002714584,0.001344791,0.01135286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003619964,"about_ca_system_score_gemma":0.006972876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015551,"about_ca_topic_score_gemma":0.01038269,"domain_scores_codex":[0.9822147,0.005605437,0.003265428,0.003491101,0.004800674,0.0006227348],"domain_scores_gemma":[0.9433812,0.03295824,0.00633889,0.004356527,0.01233339,0.0006317933],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000244752,0.000135278,0.03339234,0.01212977,0.002102908,0.0004101325,0.003048487,0.0181028,0.001027017,0.1858772,0.2444543,0.4990751],"study_design_scores_gemma":[0.00007833758,0.00009718727,0.01914823,0.002453658,0.001129178,0.0005859734,0.001575453,0.04598151,0.001802935,0.1519589,0.7750279,0.0001607124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0372237,0.02598874,0.4560053,0.005220005,0.003334345,0.008053094,0.2284442,0.01153512,0.2241955],"genre_scores_gemma":[0.3467267,0.01865289,0.4273761,0.0009198371,0.001510785,0.01469808,0.1309712,0.002252367,0.05689226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865279,"threshold_uncertainty_score":0.1811322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3244709600117833,"score_gpt":0.5763294073670355,"score_spread":0.2518584473552523,"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."}}