{"id":"W6957977255","doi":"10.6084/m9.figshare.13310860","title":"Additional file 4 of A machine learning-based clinical tool for diagnosing myopathy using multi-cohort microarray expression profiles","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; University of Toronto","funders":"","keywords":"Table (database); Myopathy; Microarray analysis techniques; Expression (computer science); Microarray","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001389214,0.001019272,0.001277099,0.002064365,0.000655245,0.001426174,0.001466662,0.001254722,0.7695739],"category_scores_gemma":[0.01845651,0.0004633362,0.001086214,0.002275119,0.0002245341,0.001056008,0.0008816901,0.000932138,0.1035787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008394975,"about_ca_system_score_gemma":0.001392743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181235,"about_ca_topic_score_gemma":0.008156716,"domain_scores_codex":[0.9993772,0.00009868074,0.0001136305,0.0001846055,0.0001346808,0.00009131143],"domain_scores_gemma":[0.9811389,0.01500698,0.0009912236,0.0008106431,0.001676782,0.0003755261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008583351,0.0001609595,0.007071405,0.004484116,0.0001547886,0.0002316496,0.00008118408,0.0006281534,0.0007407691,0.0006249885,0.9674476,0.01751602],"study_design_scores_gemma":[0.008071416,0.0006822999,0.08944875,0.005052445,0.0007315344,0.00201768,0.0005795339,0.005098014,0.004358783,0.01551805,0.8681275,0.0003140339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003479871,0.00004027303,0.0005079574,0.0001045841,0.0000275802,0.00006458976,0.9978429,0.0005121389,0.0005520278],"genre_scores_gemma":[0.01254092,0.0002252188,0.005982757,0.0008941596,0.0001507534,0.001683916,0.969757,0.0009903846,0.007775017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7695739,"threshold_uncertainty_score":0.3286748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492099600593468,"score_gpt":0.3113329387432129,"score_spread":0.2464119427372783,"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."}}