{"id":"W1996251131","doi":"10.1186/1471-2288-11-108","title":"Comparison of indicators of material circumstances in the context of an epidemiological study","year":2011,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"National Cancer Institute; Canadian Institutes of Health Research; Health Canada; Cancer Research Society","keywords":"Census; Census tract; Concordance; Index (typography); Proxy (statistics); Context (archaeology); Household income; Residential property; Cohen's kappa; Demography; Medicine; Geography; Socioeconomics; Environmental health; Statistics; Population; Economics; Mathematics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1265719,0.00007585833,0.000954093,0.0002429259,0.0001218674,0.000003315273,0.00117689,0.0002949442,0.001539624],"category_scores_gemma":[0.1258419,0.0000447464,0.0000695972,0.0005904044,0.003488524,0.00004965812,0.0001305129,0.0005069629,0.000001343788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003085407,"about_ca_system_score_gemma":0.001212916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05262421,"about_ca_topic_score_gemma":0.05560821,"domain_scores_codex":[0.9144958,0.08165859,0.001204469,0.000252093,0.001725772,0.0006632459],"domain_scores_gemma":[0.9390246,0.05997253,0.000281283,0.0002861694,0.0001585344,0.0002768299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003591205,0.0007815124,0.8303708,0.0001367207,0.00001007384,0.000005717728,0.07224884,1.10319e-7,0.00001265755,0.08255352,0.0001142731,0.01340658],"study_design_scores_gemma":[0.000386718,0.0009748915,0.6774235,0.00004156445,0.000005004156,3.851022e-7,0.3137614,0.00001221599,0.0003507046,0.006608546,0.0003944119,0.00004070464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957781,0.0002111135,0.0005383697,0.000633655,0.0002374289,0.0005694436,0.000007269578,0.000005401191,0.002019247],"genre_scores_gemma":[0.9952747,0.0001358557,0.004268479,0.0001728202,0.00009330708,0.00004214016,0.000001435975,0.000003621115,0.000007675527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2415126,"threshold_uncertainty_score":0.9993731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8083187798890671,"score_gpt":0.6709731600842157,"score_spread":0.1373456198048514,"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."}}