{"id":"W4379524927","doi":"10.51161/cronics2023/19137","title":"LADA: UM DIAGNÓSTICO DIFERENCIAL IMPORTANTE","year":2023,"lang":"pt","type":"article","venue":"","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Computer science","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":[0.001876655,0.0007493504,0.0009043734,0.002253205,0.00079755,0.00217836,0.0006177571,0.001797316,0.007454149],"category_scores_gemma":[0.008871397,0.00027338,0.0006153992,0.001921688,0.0006998676,0.00135187,0.0007557429,0.001895207,0.002083897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145938,"about_ca_system_score_gemma":0.0005520807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008711,"about_ca_topic_score_gemma":0.001462415,"domain_scores_codex":[0.9979709,0.0004782479,0.000280908,0.0003926845,0.0005689892,0.0003082574],"domain_scores_gemma":[0.9968954,0.001079818,0.0009890865,0.0001632152,0.0005717936,0.0003006859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.004229935,0.0003563461,0.750924,0.00124378,0.0003241749,0.01285579,0.0003974039,0.0002998566,0.007806072,0.003527085,0.03294519,0.1850904],"study_design_scores_gemma":[0.0006171881,0.002236917,0.6767935,0.003813951,0.001975085,0.1413195,0.003045762,0.003313277,0.02216074,0.01872079,0.1257707,0.0002325928],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6007331,0.1419241,0.0168673,0.06528313,0.007422096,0.0007066153,0.01081725,0.001038721,0.1552077],"genre_scores_gemma":[0.9612697,0.01113865,0.00530358,0.009692298,0.002922241,0.0001298581,0.001825827,0.0000838435,0.007634001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007454149,"threshold_uncertainty_score":0.02493662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06439574442875189,"score_gpt":0.3362114220266448,"score_spread":0.2718156775978929,"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."}}