{"id":"W2465298375","doi":"10.18312/1980-7341.n14.2016.328","title":"PERFIL DOS ASSISTENTES SOCIAIS DA SECRETARIA DE ESTADO DE SAÚDE DE MATO GROSSO LOTADOS NO MUNICIPIO DE CUIABÁ","year":2016,"lang":"pt","type":"article","venue":"Connection line - Revista Eletrônica do Univag","topic":"Social and Political Issues","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002203164,0.0002437438,0.0002877075,0.00147353,0.001860414,0.001597959,0.0003838298,0.0004595678,0.005685643],"category_scores_gemma":[0.008448071,0.0002869621,0.0003289096,0.002935539,0.0009102235,0.0007584702,0.002148927,0.0005113196,0.0005928348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649043,"about_ca_system_score_gemma":0.002762761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08615273,"about_ca_topic_score_gemma":0.1577491,"domain_scores_codex":[0.9986573,0.0005744508,0.00009830244,0.0001061801,0.0002889424,0.0002747739],"domain_scores_gemma":[0.9933703,0.001729998,0.001995266,0.0002439644,0.001183639,0.001476841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005241486,0.00005058337,0.9670811,0.00007652056,0.00002199603,0.0001514951,0.02479956,0.00004149506,0.0002241256,0.000171666,0.0008664092,0.006462753],"study_design_scores_gemma":[0.000002463492,0.0001031751,0.9637328,0.00004578063,0.000007091222,0.00004842247,0.03414541,0.00006664398,0.00003501848,0.00003225663,0.001775078,0.000005756876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975732,0.0001600111,0.00002457725,0.000304033,0.000006080541,0.00001965856,0.0004421276,0.000004072064,0.001466118],"genre_scores_gemma":[0.9979215,0.0002543042,0.00007683809,0.00004922199,0.00000706962,0.00003574605,0.000234973,0.000002115587,0.001418255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08615273,"threshold_uncertainty_score":0.1713026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051832371676025,"score_gpt":0.3339182254461278,"score_spread":0.2933999017293675,"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."}}