{"id":"W4385636722","doi":"10.32388/482803","title":"Review of: \"A Bibliometric Review of CSR in China Based on CNKI Database: 2006-2022\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"China; Database; Library science; Geography; Computer science; Archaeology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0207393,0.00117585,0.004822862,0.06274396,0.00185873,0.005202086,0.002145783,0.001762049,0.02575315],"category_scores_gemma":[0.09146583,0.0006565846,0.002602954,0.07293428,0.001543591,0.004123422,0.003044701,0.001092237,0.006324023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004828246,"about_ca_system_score_gemma":0.04262585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944644,"about_ca_topic_score_gemma":0.03404845,"domain_scores_codex":[0.9768999,0.003248818,0.008897797,0.0009289074,0.009175885,0.0008487472],"domain_scores_gemma":[0.8766373,0.0259736,0.02388237,0.002810282,0.06707495,0.00362153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003437676,0.00007187991,0.02270991,0.08463753,0.001313188,0.0002721699,0.0004299058,0.0001466781,0.0003277877,0.00105322,0.7871581,0.1015358],"study_design_scores_gemma":[0.0002536796,0.0001779277,0.2155015,0.06694274,0.006265669,0.000460618,0.001117964,0.0004025126,0.0006842726,0.0007498462,0.7072679,0.0001753295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.03080497,0.3609197,0.001916799,0.1068514,0.04327922,0.004080999,0.4191869,0.001363832,0.03159636],"genre_scores_gemma":[0.1648216,0.4835361,0.006944841,0.03570048,0.03802274,0.004416753,0.2271288,0.0005820001,0.03884672],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.937256,"threshold_uncertainty_score":0.1096812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158855771301876,"score_gpt":0.4600986101796676,"score_spread":0.34421303304948,"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."}}