{"id":"W6992915468","doi":"","title":"Modelos paramétricos para dados categóricos com aplicações","year":2015,"lang":"pt","type":"dissertation","venue":"Lume (Universidade Federal do Rio Grande do Sul)","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Conjunction (astronomy); Identification (biology); Domain (mathematical analysis); Period (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001079592,0.001994978,0.002657929,0.00124939,0.004894043,0.0004675581,0.001934498,0.003525291,0.003687429],"category_scores_gemma":[0.0001238707,0.002034805,0.0008913398,0.001488961,0.000245438,0.001129247,0.0005314965,0.005002635,0.003990337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983997,"about_ca_system_score_gemma":0.002188466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04556739,"about_ca_topic_score_gemma":0.006533633,"domain_scores_codex":[0.9886342,0.001800732,0.001990015,0.002432254,0.001926801,0.003216018],"domain_scores_gemma":[0.9919822,0.0005676802,0.001875595,0.001656987,0.001367047,0.002550554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.04801597,0.005672025,0.05500755,0.06661065,0.004116409,0.006943848,0.275366,0.0009155598,0.001062731,0.04578304,0.1226444,0.3678618],"study_design_scores_gemma":[0.06053093,0.00579186,0.06444099,0.02456009,0.003241981,0.0005125215,0.4045236,0.0569829,0.000363212,0.08688299,0.2742213,0.0179476],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474203,0.0106243,0.001780154,0.009358717,0.00664265,0.008667141,0.003503568,0.0008959658,0.01110718],"genre_scores_gemma":[0.8866006,0.002425261,0.0001126314,0.000916859,0.0005105156,0.0002569503,0.007081455,0.0003380152,0.1017577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3499142,"threshold_uncertainty_score":0.9992793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06731816798567039,"score_gpt":0.3727588780298477,"score_spread":0.3054407100441773,"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."}}