{"id":"W2811218218","doi":"10.15210/interfaces.v18i1.13423","title":"CESAR VICTORA, médico epidemiologista. Uma vida de liderança científica mundial a serviço da sobrevivência de milhões de crianças.","year":2018,"lang":"pt","type":"article","venue":"Interfaces Brasil/Canadá","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002051587,0.001161287,0.001427636,0.0006410051,0.001219621,0.001131364,0.002212833,0.0009597802,0.003131455],"category_scores_gemma":[0.001297801,0.001216452,0.0005450586,0.0009012881,0.001106089,0.0007452346,0.0004915789,0.001325092,0.000712371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204656,"about_ca_system_score_gemma":0.0007465251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03551107,"about_ca_topic_score_gemma":0.05523268,"domain_scores_codex":[0.9911379,0.0018171,0.001748438,0.001640951,0.000656741,0.002998822],"domain_scores_gemma":[0.9952083,0.0009513907,0.0007090737,0.001320844,0.0004612008,0.001349215],"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":[0.004669924,0.001790907,0.4325596,0.00200018,0.001036918,0.0005884937,0.0418585,0.0003277098,0.02764785,0.0005798989,0.4723203,0.01461976],"study_design_scores_gemma":[0.01082214,0.003780963,0.2365186,0.006628843,0.001373553,0.001496203,0.00672601,0.02082191,0.2906742,0.005200117,0.4104131,0.005544388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627482,0.003941553,0.003697862,0.02001724,0.004928074,0.001006216,0.0006329009,0.0004287713,0.002599174],"genre_scores_gemma":[0.9796718,0.0002146086,0.001607927,0.01346951,0.003197178,0.00006919065,0.00009793967,0.0002013202,0.001470502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2630264,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102722885880936,"score_gpt":0.3289270398989039,"score_spread":0.2878998110400945,"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."}}