{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001281643,0.0004534009,0.0005717593,0.0004826344,0.0004048306,0.000340557,0.001810442,0.0003558055,0.0003014965],"category_scores_gemma":[0.00103998,0.0004405764,0.0002079127,0.002536123,0.0001087769,0.0004493378,0.001279043,0.0006661162,0.008155843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022693,"about_ca_system_score_gemma":0.001826572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484888,"about_ca_topic_score_gemma":0.001065669,"domain_scores_codex":[0.9950259,0.0002790446,0.0009121159,0.001219182,0.0009608756,0.001602898],"domain_scores_gemma":[0.9965479,0.0009033018,0.0002112565,0.00142867,0.0001947602,0.0007140767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008500442,0.0005171499,0.3606028,0.00174661,0.0002949217,0.005182262,0.0171293,0.0002791396,0.001515524,0.1091275,0.3182925,0.1852273],"study_design_scores_gemma":[0.002349635,0.0008331946,0.5064905,0.0006528792,0.00009047893,0.0001448794,0.000607757,0.369308,0.001160915,0.006706878,0.1089875,0.002667387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7764167,0.0007439724,0.1372873,0.05025973,0.01875411,0.001680955,0.0001467866,0.00698362,0.007726801],"genre_scores_gemma":[0.9744071,0.0003195561,0.0006281466,0.004148697,0.000943547,0.00004358356,0.00001576741,0.00005878559,0.01943486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3690288,"threshold_uncertainty_score":0.9998046,"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."}}