{"id":"W4252503136","doi":"10.1037/e509012013-090","title":"Mental Health and Well-being in Northern Ontario, 2002","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mental health; Geography; Psychology; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.001022367,0.001269094,0.00169269,0.004096518,0.00178995,0.002007768,0.002868645,0.001135736,0.01261907],"category_scores_gemma":[0.007045624,0.001082835,0.001539818,0.02036104,0.0004775538,0.0006618907,0.001424114,0.001112043,0.005315113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02293081,"about_ca_system_score_gemma":0.04131423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865252,"about_ca_topic_score_gemma":0.9920454,"domain_scores_codex":[0.9986804,0.0001004078,0.0002160876,0.0002010427,0.0004798278,0.0003222414],"domain_scores_gemma":[0.9947485,0.0003219688,0.0008746847,0.0004507389,0.002931596,0.000672484],"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":[0.0005553601,0.00007506956,0.0909887,0.001441325,0.0004118656,0.0001173535,0.0005459774,0.001093894,0.0001309996,0.0006228077,0.8961444,0.007872255],"study_design_scores_gemma":[0.0006401752,0.00003782116,0.7117934,0.0006066582,0.0003263161,0.0001004531,0.0007955625,0.0007371916,0.0002376852,0.0002958114,0.2843577,0.0000711568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002879749,0.0001744528,0.00002273184,0.0001118507,0.00001178297,0.000028814,0.9960671,0.00003142338,0.0006722333],"genre_scores_gemma":[0.01565299,0.0006196212,0.0002422712,0.0001440211,0.00002023747,0.0004074557,0.9751541,0.00003063627,0.007728701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02293081,"threshold_uncertainty_score":0.1663755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210152755462046,"score_gpt":0.3432105525642898,"score_spread":0.3211090250096694,"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."}}