{"id":"W2954712613","doi":"10.17271/2318847274520192056","title":"Impacto dos Fármacos nos Recursos Hídricos","year":2019,"lang":"pt","type":"article","venue":"Revista Nacional de Gerenciamento de Cidades","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","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":["insufficient_payload"],"category_scores_codex":[0.00138018,0.0007572745,0.001052245,0.0003763763,0.0002040126,0.0002848094,0.0005064122,0.0004626006,0.007822796],"category_scores_gemma":[0.000155184,0.0007419695,0.0005082056,0.0005027933,0.0001128713,0.0002405356,0.0003303344,0.0009438555,0.006439618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744519,"about_ca_system_score_gemma":0.0007855889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002814174,"about_ca_topic_score_gemma":0.00001275008,"domain_scores_codex":[0.9944397,0.0004710779,0.00108535,0.0009923446,0.001249987,0.001761492],"domain_scores_gemma":[0.9970034,0.00024241,0.0004278862,0.0009736565,0.00007980261,0.001272859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002120464,0.003358525,0.6092102,0.01550285,0.002475359,0.00134124,0.009981919,0.0002314216,0.05355118,0.01537251,0.140484,0.1463703],"study_design_scores_gemma":[0.005566292,0.003202443,0.4101661,0.006926903,0.001423035,0.0004264607,0.009401185,0.003168524,0.003815069,0.0002332717,0.5534374,0.002233246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705123,0.009457678,0.0008425163,0.005559322,0.0004854585,0.003071503,0.0002094534,0.000126851,0.009734862],"genre_scores_gemma":[0.964884,0.002131362,0.0003806879,0.00659517,0.0007536297,0.00008246108,0.0001992268,0.0001260174,0.02484747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129534,"threshold_uncertainty_score":0.9995031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059308747393011,"score_gpt":0.2963696009068467,"score_spread":0.2757765134329165,"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."}}