{"id":"W1967945164","doi":"10.1016/j.socscimed.2005.03.021","title":"Time on my side? Life course trajectories of poverty and health","year":2005,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Poverty; Argument (complex analysis); Life course approach; Culture of poverty; Panel data; Panel Study of Income Dynamics; Demographic economics; Psychology; Basic needs; Socioeconomics; Sociology; Demography; Economics; Economic growth; Econometrics; Medicine; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003108648,0.00009273118,0.0003228418,0.00006760216,0.001381173,0.00001991667,0.0002428174,0.00005972011,0.0003422824],"category_scores_gemma":[0.0007358647,0.00007101673,0.00002687295,0.0005323139,0.003346382,0.0002286662,0.00002198902,0.000121275,0.00001217209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001972252,"about_ca_system_score_gemma":0.002012198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007976154,"about_ca_topic_score_gemma":0.001724415,"domain_scores_codex":[0.9978102,0.00009884293,0.0002939207,0.0002196704,0.0009931137,0.00058429],"domain_scores_gemma":[0.9989798,0.0001639175,0.0001512309,0.00008838835,0.0001100842,0.0005065436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004960107,0.0002119128,0.04607442,0.0001357875,0.0000174409,0.000002209245,0.4117328,0.000003531986,0.00009937772,0.2402053,0.1448674,0.1566003],"study_design_scores_gemma":[0.001289577,0.0004272823,0.5690286,0.0002228144,0.00002372596,8.510977e-7,0.06792209,0.00003760097,0.00004209805,0.001464137,0.35923,0.000311213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3353365,0.00147551,0.00001069475,0.5869931,0.0007986216,0.0004327595,0.00001415803,0.00008266381,0.07485601],"genre_scores_gemma":[0.9608036,0.0002527139,0.00002300361,0.03684863,0.00139687,0.000003146368,9.405458e-7,0.000004867216,0.0006662497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6254671,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372656251006785,"score_gpt":0.3981912340421288,"score_spread":0.3609256089414503,"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."}}