{"id":"W4388642969","doi":"10.52843/cassyni.9s6h60","title":"How to Use Bibliometric Study for Writing a Paper: A Starter Guide","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Bibliographic coupling; Citation; Bibliometrics; Computer science; Variety (cybernetics); Data science; Section (typography); Scientific literature; Citation analysis; Management science; Library science; Engineering; Artificial intelligence","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":[0.01957271,0.002787596,0.002833768,0.01438872,0.002578395,0.008350151,0.004051839,0.004080381,0.07848447],"category_scores_gemma":[0.08953899,0.002284021,0.002299662,0.00999092,0.003009974,0.01401351,0.004981021,0.008061938,0.1304479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002432886,"about_ca_system_score_gemma":0.007321198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950675,"about_ca_topic_score_gemma":0.005937148,"domain_scores_codex":[0.9785807,0.009050054,0.003323189,0.001115063,0.007571247,0.0003597784],"domain_scores_gemma":[0.9301524,0.03296931,0.002562416,0.005484194,0.02587363,0.002958161],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004283563,0.0001702153,0.0003197302,0.001463908,0.00003817045,0.0003161551,0.001782235,0.0004747343,0.001973388,0.02042164,0.6871055,0.2858914],"study_design_scores_gemma":[0.00002590231,0.00003241017,0.0003525058,0.0008882394,0.00001095743,0.0002810601,0.0005319112,0.0005564035,0.0004812558,0.02345015,0.9733338,0.00005545628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001406445,0.01716741,0.7312148,0.07829084,0.01577129,0.009982137,0.009482297,0.0275517,0.1091331],"genre_scores_gemma":[0.00313544,0.01216832,0.893353,0.007747857,0.003790062,0.004694219,0.003446156,0.004793512,0.06687143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9856113,"threshold_uncertainty_score":0.2625567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09083458773867271,"score_gpt":0.3343772364030506,"score_spread":0.2435426486643779,"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."}}