{"id":"W4406511667","doi":"10.1016/j.yped.2012.09.025","title":"10.1016/j.yped.2012.09.025","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Environmental health; Medical emergency; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001027523,0.001009469,0.0005820415,0.002014692,0.001251948,0.00323828,0.0009220783,0.004102909,0.9224017],"category_scores_gemma":[0.002319584,0.0004015274,0.0006566494,0.0009064116,0.001003301,0.002739103,0.001912367,0.001894173,0.8343291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127319,"about_ca_system_score_gemma":0.00178763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005006986,"about_ca_topic_score_gemma":0.004741983,"domain_scores_codex":[0.9996376,0.00004371184,0.00003142728,0.00008603371,0.00009003057,0.0001111106],"domain_scores_gemma":[0.9989496,0.0001851528,0.0001226345,0.00006426396,0.0001982753,0.0004800353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002332896,0.0002910961,0.00802061,0.0003961762,0.00004055172,0.0002490885,0.0001852949,0.0001882703,0.0002921468,0.008888599,0.4063303,0.5748846],"study_design_scores_gemma":[0.00006749004,0.0001030101,0.007641827,0.001519958,0.00004193718,0.001246331,0.000547451,0.0002665444,0.000316318,0.007974928,0.9802415,0.00003279229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005119772,0.009617685,0.001937946,0.01669723,0.003524279,0.00010744,0.00515319,0.001126797,0.9567158],"genre_scores_gemma":[0.01626826,0.004581164,0.001838811,0.002742659,0.000853562,0.00008280257,0.002362773,0.000274982,0.9709949],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07759827,"threshold_uncertainty_score":0.1106845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364490704753844,"score_gpt":0.259484533545468,"score_spread":0.2458396264979295,"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."}}