{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01162797,0.00006832669,0.0004025313,0.01448313,0.0001031023,0.00007367255,0.001152049,0.00002433238,0.006858958],"category_scores_gemma":[0.0006095794,0.00005315671,0.0002007659,0.06601857,0.00007143457,0.0001235515,0.0003962621,0.0001317683,0.00003447275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436518,"about_ca_system_score_gemma":0.00002957874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135202,"about_ca_topic_score_gemma":0.000001983188,"domain_scores_codex":[0.995207,0.00002438501,0.000725477,0.0003979811,0.003474027,0.0001711537],"domain_scores_gemma":[0.997942,0.0001712668,0.0003923487,0.0003376573,0.00106025,0.00009643153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005220165,0.0001067866,0.6572612,0.00003310097,0.0001081903,0.00001149478,0.00003170497,0.0001298298,0.000005547406,0.004038574,0.07030503,0.2679163],"study_design_scores_gemma":[0.0001462623,0.00005320995,0.6404925,0.00004972034,0.00006556083,0.000009724202,0.00004305352,0.0005780376,0.000001691427,0.008675884,0.349815,0.00006941283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6267097,0.2599777,0.003273591,0.01921022,0.005191717,0.0008725604,0.0001168099,0.0000315036,0.08461623],"genre_scores_gemma":[0.9159873,0.0804079,0.000687871,0.001580225,0.00005580207,0.00003916874,0.00005971946,0.000003932714,0.00117813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2892776,"threshold_uncertainty_score":0.9966869,"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."}}