{"id":"W3094204775","doi":"10.5539/gjhs.v12n13p32","title":"Pharmaceutical Service for Multiple Sclerosis Carriers in Brazil: A State Model","year":2020,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Mato Grosso do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Pharmacy; Pharmaceutical care; Pharmacist; Medicine; Service (business); Pharmacy school; Business; Multiple sclerosis; Family medicine; Nursing; Pharmacy practice; Marketing; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369367,0.000124995,0.0001809013,0.001013491,0.001341237,0.001948001,0.000708634,0.0007383089,0.004697592],"category_scores_gemma":[0.003214811,0.000188658,0.0003932607,0.001272592,0.001112048,0.001080179,0.001622051,0.0006836206,0.000304225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005323066,"about_ca_system_score_gemma":0.01221995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1075704,"about_ca_topic_score_gemma":0.1672099,"domain_scores_codex":[0.9991294,0.0002715816,0.00004243748,0.0001133236,0.000186983,0.0002563311],"domain_scores_gemma":[0.9981855,0.0004614756,0.0003714566,0.0001448666,0.000351232,0.0004854216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002569199,0.001354875,0.3338813,0.001010715,0.0001448718,0.003064817,0.03007263,0.00228249,0.005097996,0.3724249,0.01867518,0.2317333],"study_design_scores_gemma":[0.0003900959,0.001413402,0.632032,0.002174952,0.0004184619,0.00497188,0.04558638,0.01951508,0.001438715,0.04097235,0.250879,0.0002075957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449287,0.003050425,0.004072952,0.04428055,0.0001347452,0.0006374585,0.001252384,0.0001330931,0.1015096],"genre_scores_gemma":[0.9945002,0.0007217702,0.001153485,0.0007677652,0.00002898734,0.00009464567,0.0001290427,0.000007392311,0.002596717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075704,"threshold_uncertainty_score":0.2138886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910924244478276,"score_gpt":0.4589808462989546,"score_spread":0.2678884218511269,"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."}}