{"id":"W2033762639","doi":"10.1016/j.socscimed.2005.10.014","title":"The nature and correlates of unmet health care needs in Ontario, Canada","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Lakehead University","funders":"","keywords":"Mental health; Needs assessment; Social support; Medicine; Gerontology; Social needs; Health care; Public health; Help-seeking; Environmental health; Nursing; Psychology; Psychiatry; Economic growth; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008002167,0.00006546388,0.0001874198,0.00005503977,0.001882404,0.000002001621,0.0001339139,0.00005564823,0.00002773404],"category_scores_gemma":[0.0001163413,0.00003767947,0.000008264506,0.0005188055,0.000764386,0.00003577836,0.00005332246,0.0004684116,1.717075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068859,"about_ca_system_score_gemma":0.002546708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916597,"about_ca_topic_score_gemma":0.9991538,"domain_scores_codex":[0.9987934,0.00007224465,0.0002636962,0.0001056103,0.0004030937,0.0003619666],"domain_scores_gemma":[0.9994341,0.0002056153,0.000129661,0.0000634346,0.000118854,0.00004836213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006111848,0.000002585064,0.9078787,0.00001652662,0.000001474598,5.657802e-7,0.05573921,1.224202e-7,0.00001030321,0.01153247,0.02395607,0.0008558432],"study_design_scores_gemma":[0.0003234014,0.00004104941,0.9080642,0.00008799191,0.00000360662,9.726863e-8,0.05613661,5.206942e-7,0.00000162139,0.0007812716,0.03452183,0.00003781012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419861,0.003380689,3.574115e-7,0.03361973,0.0008462452,0.0002438999,0.000003290413,0.000006888696,0.01991281],"genre_scores_gemma":[0.9975083,0.00004514464,9.597711e-7,0.001172845,0.0001745991,0.000008375175,0.00000376831,0.000002757466,0.001083209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05552226,"threshold_uncertainty_score":0.999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167002580779305,"score_gpt":0.3668347266031656,"score_spread":0.3501344685252351,"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."}}