{"id":"W4412477534","doi":"10.3390/psychiatryint6030086","title":"Perinatal Depression Research Trends in Canada: A Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Psychiatry International","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Depression (economics); Bibliometrics; Regional science; Geography; Political science; Library science; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01018596,0.0009710811,0.003464204,0.1878999,0.004503516,0.009642445,0.001976404,0.000872888,0.004177976],"category_scores_gemma":[0.0633525,0.0005493732,0.003157618,0.4046569,0.001228029,0.002149395,0.003549939,0.0008388921,0.0005942706],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04074584,"about_ca_system_score_gemma":0.1015376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8514673,"about_ca_topic_score_gemma":0.8187454,"domain_scores_codex":[0.9816706,0.001431126,0.003623908,0.00144931,0.01033572,0.001489347],"domain_scores_gemma":[0.926861,0.02188945,0.01026283,0.001311694,0.03738752,0.00228743],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004647608,0.0001459048,0.6651056,0.05347731,0.004029745,0.001307719,0.008766555,0.003475372,0.0007596692,0.00604488,0.05393701,0.2024854],"study_design_scores_gemma":[0.00006297235,0.00007534582,0.8944955,0.01008602,0.003518778,0.0006969722,0.008929829,0.005149444,0.0004299084,0.001063298,0.07532725,0.0001648516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3817732,0.1230705,0.00363144,0.006773795,0.0003554456,0.002752935,0.4369468,0.0006989655,0.04399696],"genre_scores_gemma":[0.7580411,0.1093946,0.01273161,0.0004956577,0.000236547,0.002018989,0.1127305,0.0001855496,0.004165408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.989814,"threshold_uncertainty_score":0.2988148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284904829002293,"score_gpt":0.4051393874059426,"score_spread":0.3722903391159196,"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."}}