{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003291277,0.0007628764,0.001130278,0.0002232992,0.001887314,0.001018959,0.001238651,0.001090911,0.004039431],"category_scores_gemma":[0.006893561,0.0006663895,0.0008184269,0.001093993,0.001448086,0.000576493,0.0003185222,0.0009330128,0.001032765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118709,"about_ca_system_score_gemma":0.002267614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008587777,"about_ca_topic_score_gemma":0.0008320345,"domain_scores_codex":[0.9921781,0.002325539,0.001149028,0.001010236,0.0007621367,0.00257499],"domain_scores_gemma":[0.9934273,0.002903444,0.0006204054,0.0008729411,0.0007343013,0.001441642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005587008,0.001312125,0.08561277,0.0008768518,0.000926189,0.0001761864,0.02860636,0.00001800604,0.01544715,0.8097998,0.0398194,0.01684639],"study_design_scores_gemma":[0.002390495,0.0006876847,0.008958707,0.001586712,0.0007509084,0.00006079777,0.01418321,0.00104884,0.001086021,0.01087846,0.9566631,0.001705007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889349,0.006067037,0.01767246,0.04562869,0.001950806,0.001716299,0.0005352274,0.001171546,0.03632302],"genre_scores_gemma":[0.9527529,0.003312883,0.0006522408,0.001978046,0.004515283,0.00006891208,0.00003681094,0.0001391713,0.03654367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9168438,"threshold_uncertainty_score":0.9997451,"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."}}