{"id":"W7161813237","doi":"10.82308/21202","title":"Development of a new disease activity index for Systemic Sclerosis using traditional and machine learning techniques","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scleroderma (fungus); Context (archaeology); Disease; Principal component analysis; Clinical trial; Regression; Index (typography); Rheumatic disease","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":[0.006878134,0.0007441932,0.001098897,0.002363435,0.0002683951,0.001841438,0.0006274999,0.0005796214,0.0009758854],"category_scores_gemma":[0.01241691,0.0001743097,0.001318758,0.001624717,0.0002959441,0.001137138,0.0006903968,0.001811377,0.0005872871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007358796,"about_ca_system_score_gemma":0.00136422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626862,"about_ca_topic_score_gemma":0.003475397,"domain_scores_codex":[0.9971777,0.001000036,0.0003110193,0.0003485891,0.001052292,0.0001104002],"domain_scores_gemma":[0.9923227,0.003841031,0.001049595,0.0004651257,0.002133534,0.0001879541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002935709,0.0003214746,0.1570981,0.0004406477,0.0007353951,0.0001200825,0.0002244502,0.08933914,0.005234527,0.005519049,0.007700328,0.7329733],"study_design_scores_gemma":[0.00006776336,0.0005949165,0.07097236,0.0002627689,0.0003155804,0.0002610532,0.0001347409,0.9019391,0.006824678,0.008286098,0.01023011,0.0001108448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1455159,0.002967563,0.8441177,0.001194373,0.0002952434,0.0006307433,0.001230127,0.0009217693,0.003126579],"genre_scores_gemma":[0.4183792,0.001651163,0.5748458,0.0002628247,0.0002273616,0.0005675585,0.002345726,0.00008333318,0.001637006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006878134,"threshold_uncertainty_score":0.03637552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119522558609442,"score_gpt":0.2958529996520359,"score_spread":0.1839007437910917,"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."}}