{"id":"W7117119183","doi":"10.4103/ijors.ijors_18_25","title":"Bibliometric Analysis of Foreign Orthopaedics Research in the Indian Journal of Orthopaedics (2007–2024): Trends, Impact and International Collaboration","year":2025,"lang":"en","type":"article","venue":"International Journal of Orthopaedic Surgery","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Citation; Citation analysis; Thematic analysis; Citation impact; Joint (building)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005038755,0.0004226684,0.001184577,0.111762,0.0009314177,0.004948648,0.000729689,0.0004561204,0.003375663],"category_scores_gemma":[0.03333961,0.0001476221,0.00123321,0.1948277,0.0006798179,0.002449976,0.002019505,0.0004395189,0.001043412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002780187,"about_ca_system_score_gemma":0.004504733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168903,"about_ca_topic_score_gemma":0.0104929,"domain_scores_codex":[0.9912949,0.001051007,0.00199098,0.0005828744,0.004526304,0.0005539522],"domain_scores_gemma":[0.9671122,0.01043156,0.01084504,0.001177945,0.009160918,0.00127231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001565753,0.00009854197,0.8700365,0.004344599,0.000940853,0.0003880467,0.002046151,0.001125023,0.0006198837,0.003001628,0.01266204,0.1045802],"study_design_scores_gemma":[0.00001024556,0.00006198843,0.9673297,0.0008012422,0.0003370219,0.0005350782,0.00376993,0.001316207,0.0005008942,0.0006731688,0.02462248,0.00004201805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603372,0.03569268,0.001209019,0.002641631,0.0003342513,0.0002464022,0.06164258,0.0004041523,0.03749209],"genre_scores_gemma":[0.9638866,0.01188594,0.0009157541,0.0001050554,0.0003035227,0.0001514968,0.02119103,0.00004125769,0.001519219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.888238,"threshold_uncertainty_score":0.02664781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3336678912474889,"score_gpt":0.5643112494340826,"score_spread":0.2306433581865937,"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."}}