{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009772399,0.0003187658,0.0005413759,0.0001805465,0.0006948699,0.0001736683,0.0005584583,0.0002991841,0.002170252],"category_scores_gemma":[0.00007480907,0.0003292698,0.00005201076,0.0002006133,0.0002245389,0.0002545501,0.0001435881,0.0007037718,0.0004412432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279482,"about_ca_system_score_gemma":0.002656857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8662543,"about_ca_topic_score_gemma":0.9974111,"domain_scores_codex":[0.997023,0.000235506,0.0005913301,0.0005805864,0.0005470861,0.0010225],"domain_scores_gemma":[0.9984597,0.0001001975,0.0002256078,0.000527175,0.00001513009,0.0006722137],"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":[0.00001851482,0.00009495426,0.007136141,0.0002806241,0.00001281888,0.0000300867,0.002702044,5.244958e-7,4.507482e-9,0.0001596388,0.9891131,0.0004515767],"study_design_scores_gemma":[0.0005233426,0.00004032647,0.002202519,0.0003138365,0.000009074754,0.000005041637,0.001059271,1.29252e-7,2.26454e-8,0.0002016228,0.9953285,0.0003163212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002098611,0.001207263,4.488134e-7,0.007716189,0.0008277585,0.0006259433,0.9888459,0.00002004161,0.0005465955],"genre_scores_gemma":[0.00001860913,0.004974737,0.0000580378,0.008918037,0.0002573633,0.00002620816,0.9855027,0.00001562575,0.0002286996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1311567,"threshold_uncertainty_score":0.999916,"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."}}