{"id":"W2539447787","doi":"","title":"Predicting Patterns of Global Variations in Electroconvulsive Therapy Utilization","year":2015,"lang":"en","type":"article","venue":"Global Health: Annual Review","topic":"Electroconvulsive Therapy Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electroconvulsive therapy; Mental illness; Psychiatry; Socioeconomic status; Depression (economics); Mental health; Medicine; Government (linguistics); Stigma (botany); Psychology; Schizophrenia (object-oriented programming); Environmental health; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001799147,0.0002974768,0.000447687,0.002635602,0.00009323986,0.0006257533,0.0002755942,0.0003140644,0.001229397],"category_scores_gemma":[0.003159584,0.0001694807,0.0006199557,0.004325357,0.00016421,0.0004990869,0.0004136121,0.0002946592,0.0001275814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056935,"about_ca_system_score_gemma":0.0002931989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003466166,"about_ca_topic_score_gemma":0.008704432,"domain_scores_codex":[0.9995074,0.0002074724,0.00009159678,0.0001034639,0.00005741264,0.00003260348],"domain_scores_gemma":[0.9981493,0.0006307507,0.0007972618,0.00008570236,0.0002491298,0.00008788212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001018265,0.00001942636,0.9698893,0.0005621817,0.0008474216,0.00003353363,0.0001887201,0.000129592,0.00007947283,0.00007542512,0.0004259673,0.02764712],"study_design_scores_gemma":[0.000006827056,0.00006446247,0.9976273,0.0002774394,0.0003875993,0.0001078201,0.0004593805,0.0002041928,0.00004667311,0.0000776698,0.0007348164,0.000005788667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159859,0.07772034,0.0005393277,0.0005657496,0.00003784904,0.00005626222,0.003079266,0.00001321955,0.002002043],"genre_scores_gemma":[0.9807377,0.01718437,0.0005428265,0.00008706355,0.00002653931,0.00002915374,0.001245384,0.000004189585,0.0001427191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003466166,"threshold_uncertainty_score":0.009514928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371296003499351,"score_gpt":0.4210230898909378,"score_spread":0.3573101298559443,"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."}}