{"id":"W4253716636","doi":"10.2105/ajph.2015.303029","title":"Voigt Responds","year":2016,"lang":"fr","type":"letter","venue":"American Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Population; Library science; Political science; Sociology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286212,0.0004417664,0.0005004207,0.0003813446,0.003214423,0.002220963,0.0008386408,0.01486029,0.05224984],"category_scores_gemma":[0.01913773,0.0002838896,0.0004650965,0.0002969497,0.001260337,0.002190803,0.001527817,0.0131104,0.03029715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202194,"about_ca_system_score_gemma":0.002876096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672115,"about_ca_topic_score_gemma":0.006241706,"domain_scores_codex":[0.9985662,0.00029008,0.0001281047,0.0002168041,0.0004623033,0.0003364988],"domain_scores_gemma":[0.9972003,0.0008001563,0.0002023723,0.0001431098,0.0008826513,0.0007714585],"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":[0.00001253436,0.00001114439,0.000219161,0.00001500333,0.000001285371,0.0003442969,0.00009709476,0.00001012097,0.00004684757,0.001035276,0.9923062,0.005901013],"study_design_scores_gemma":[0.00001240701,0.00001592807,0.0005252966,0.0001207989,0.000002762348,0.0008864534,0.0004949634,0.00005346316,0.00006842674,0.001238586,0.9965686,0.00001225867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007091114,0.001099715,0.00008854248,0.9384571,0.030222,0.00002843859,0.0001283186,0.0001369911,0.02912974],"genre_scores_gemma":[0.01182101,0.001211265,0.0001307418,0.8767838,0.01185904,0.00006879447,0.0000909517,0.00006697448,0.09796744],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05224984,"threshold_uncertainty_score":0.1747931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07806867728664058,"score_gpt":0.3864400402917598,"score_spread":0.3083713630051192,"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."}}