{"id":"W6892885160","doi":"10.5281/zenodo.12738098","title":"Scientometric Study of Corporate Communication Research in G20 Countries","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Productivity; Presidency; Quarter (Canadian coin); Scientometrics; Resource (disambiguation); Emerging markets","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007535975,0.00009434043,0.0001440199,0.004710435,0.00132098,0.002132639,0.004288591,0.00005939428,0.0005109746],"category_scores_gemma":[0.001100807,0.00009179181,0.00002665371,0.01541244,0.0005524441,0.0006862577,0.003968355,0.0005603911,0.002291573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173852,"about_ca_system_score_gemma":0.00002367521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043536,"about_ca_topic_score_gemma":0.000005574555,"domain_scores_codex":[0.9962331,0.001100885,0.0003373214,0.0006023922,0.001220373,0.0005059519],"domain_scores_gemma":[0.9972252,0.0002271763,0.00007862877,0.00126871,0.001076467,0.0001237876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006992922,0.001328418,0.0005702785,0.0002992986,0.00006085199,0.0001913102,0.01046892,0.0001068834,0.003314371,0.4408906,0.09940133,0.4432979],"study_design_scores_gemma":[0.001434627,0.0021844,0.01301883,0.0002281314,0.000005713538,0.0001350966,0.004928999,0.02686028,0.002217293,0.02197641,0.9266254,0.0003848503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381502,0.001344017,0.01208131,0.002866501,0.0003240086,0.001587448,0.00005143403,0.001583975,0.04201109],"genre_scores_gemma":[0.9988433,0.0001179183,0.0004051245,0.000009753271,0.00001577341,2.059659e-7,0.00005244511,0.0001822124,0.000373304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.827224,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419282778690689,"score_gpt":0.3340026721625103,"score_spread":0.1920743942934414,"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."}}