{"id":"W4402364817","doi":"10.1186/s40337-024-01098-6","title":"Mapping eating disorders in adolescents and young adults: an investigation of geographic distribution and access to care in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Eating Disorders","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund; University of Toronto","keywords":"Eating disorders; Geospatial analysis; Logistic regression; Rural area; Young adult; Medicine; Bulimia nervosa; Intervention (counseling); Geographic information system; Psychiatry; Environmental health; Psychology; Geography; Gerontology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006290745,0.0002184169,0.0002792157,0.001798215,0.004169438,0.001241576,0.0008553674,0.0002399608,0.001759119],"category_scores_gemma":[0.002087555,0.0002725311,0.0004011249,0.006009065,0.0007745813,0.0003897448,0.001306187,0.0003414396,0.0001502997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0266644,"about_ca_system_score_gemma":0.04301066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969794,"about_ca_topic_score_gemma":0.9987906,"domain_scores_codex":[0.9993961,0.00004964279,0.00004570465,0.00008132892,0.000251962,0.0001752463],"domain_scores_gemma":[0.9981509,0.0001600385,0.0004180919,0.00005380307,0.0008555497,0.0003615912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003183554,0.00003104554,0.9788344,0.0001324841,0.00002554065,0.0001980213,0.008383008,0.0001188957,0.0002239439,0.0001923739,0.00141277,0.01041574],"study_design_scores_gemma":[0.000004091125,0.00001453651,0.9886146,0.00005863427,0.0000113706,0.00005525853,0.009631811,0.0001449063,0.00003035649,0.00002434732,0.001404031,0.000006079717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933868,0.0005578264,0.0001635057,0.0003824629,0.000005800806,0.0001161701,0.002778999,0.000008393974,0.002600105],"genre_scores_gemma":[0.9964564,0.000771609,0.0005225,0.0001057179,0.000003623415,0.00007455586,0.001013409,0.000004581059,0.001047422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0266644,"threshold_uncertainty_score":0.1934646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086056990490555,"score_gpt":0.2700655927010221,"score_spread":0.2592050227961166,"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."}}