{"id":"W4295812914","doi":"10.54628/issn2763-5600.v16.1.2022.186","title":"A PANDEMIA DE COVID-19 E O IMPACTO NO ORÇAMENTO DAS FAMÍLIAS","year":2022,"lang":"pt","type":"article","venue":"Revista Fatecnológica da Fatec-Jahu","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Humanities; Philosophy; 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":[0.00324607,0.0004846056,0.0005223638,0.001269852,0.001659604,0.002401831,0.0006042925,0.0006937509,0.006068277],"category_scores_gemma":[0.008928701,0.0002740439,0.0008096375,0.00169824,0.001040498,0.00140606,0.001612229,0.0008556495,0.0003949241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796748,"about_ca_system_score_gemma":0.003432227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04587391,"about_ca_topic_score_gemma":0.06513151,"domain_scores_codex":[0.9971547,0.001304034,0.0001745011,0.0003985576,0.0005644892,0.0004036943],"domain_scores_gemma":[0.9952877,0.001595497,0.001455773,0.0002538213,0.0009673082,0.0004398122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003790039,0.0002143558,0.8896633,0.001237171,0.0003792632,0.001191514,0.01296262,0.0003537174,0.003077386,0.002192164,0.002919338,0.08543023],"study_design_scores_gemma":[0.00002068953,0.0009047727,0.9227837,0.00175731,0.0006310135,0.001516024,0.03785191,0.0006096991,0.001756298,0.002020315,0.03007592,0.00007245014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963551,0.01015262,0.001796633,0.004138423,0.0001489489,0.0001658373,0.001911658,0.00004161992,0.01809322],"genre_scores_gemma":[0.9878628,0.005579232,0.00261183,0.0006337122,0.00005909495,0.0001123864,0.0005810212,0.00001087032,0.002548985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04587391,"threshold_uncertainty_score":0.09121376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06535957671731454,"score_gpt":0.3752442006933021,"score_spread":0.3098846239759875,"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."}}