{"id":"W4382241442","doi":"10.51189/conbracib2023/16742","title":"PANORAMA DA PREVALÊNCIA E CAUSAS DA DEFICIÊNCIA VISUAL E CEGUEIRA NO BRASIL E EM PERNAMBUCO","year":2023,"lang":"pt","type":"article","venue":"","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Panorama; Computer science; Computer vision; Computer graphics (images); Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007472977,0.0004217779,0.0004406359,0.003432702,0.0006472684,0.0009651952,0.0004131772,0.0004873893,0.002248269],"category_scores_gemma":[0.00261925,0.0004978571,0.0005899461,0.003507923,0.0007696163,0.0005593714,0.000637793,0.0005742386,0.0002153671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009449513,"about_ca_system_score_gemma":0.001345117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1463902,"about_ca_topic_score_gemma":0.2169927,"domain_scores_codex":[0.9993964,0.0001116587,0.00009695843,0.0001117893,0.0001576138,0.0001255038],"domain_scores_gemma":[0.9983606,0.0004103563,0.0006358768,0.0001289222,0.0003080758,0.0001560911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005063241,0.0000432002,0.9858927,0.0001697578,0.00008439012,0.0001936612,0.001977525,0.00003835656,0.0006240762,0.0003253034,0.0002204281,0.01037989],"study_design_scores_gemma":[0.000002128449,0.00003601355,0.9959332,0.00008286629,0.00006493107,0.0003706454,0.002757735,0.00006391825,0.00007973971,0.00007638604,0.0005248799,0.000007636779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899445,0.003260767,0.0001932381,0.0002033734,0.0000118757,0.00004375424,0.001527372,0.0000378242,0.004777275],"genre_scores_gemma":[0.9973815,0.00172662,0.0003381745,0.00003007601,0.000005761964,0.00001494099,0.0001823657,0.000003756443,0.0003168287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463902,"threshold_uncertainty_score":0.2910762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0988562727746615,"score_gpt":0.4046970542219396,"score_spread":0.3058407814472781,"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."}}