{"id":"W4404502848","doi":"10.22478/ufpb.2317-6032.2022v26n2.61200","title":"VARIÁVEIS PREDITIVAS PARA IMOBILIDADE INTRAHOSPITALAR DE IDOSOS","year":2022,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciências da Saúde","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Gerontology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001774368,0.0004464602,0.0005067576,0.001698406,0.0004415371,0.001181818,0.0004239571,0.0005586735,0.001668583],"category_scores_gemma":[0.007897303,0.0003346765,0.0009435859,0.002159718,0.0003758563,0.0005571138,0.000932632,0.0007439995,0.0002501176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211218,"about_ca_system_score_gemma":0.001225256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009680093,"about_ca_topic_score_gemma":0.0101422,"domain_scores_codex":[0.9992524,0.0001939103,0.0001323616,0.0001136492,0.0001401608,0.0001674834],"domain_scores_gemma":[0.9956701,0.0009260149,0.002264365,0.0002243201,0.0005725347,0.0003426598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007095803,0.00001908393,0.9986211,0.00002540537,0.00003420433,0.00002386163,0.0001144222,0.00002428811,0.00003234074,0.00001129568,0.00002938287,0.000993607],"study_design_scores_gemma":[0.000003202312,0.0001089385,0.9983274,0.00005928876,0.00007803952,0.0001868222,0.0007160445,0.0001775923,0.00009138844,0.00004600517,0.0001985008,0.00000659865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976341,0.0008000988,0.0001663904,0.0000993409,0.00001021648,0.00002048132,0.0006414781,0.000006869102,0.0006210544],"genre_scores_gemma":[0.9986665,0.0004221969,0.000326344,0.00002727711,0.00001085138,0.00002772762,0.0003439894,0.000002191465,0.0001728927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009680093,"threshold_uncertainty_score":0.01924747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559607022817739,"score_gpt":0.3406683902079073,"score_spread":0.2950723199797299,"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."}}