{"id":"W3024276571","doi":"10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a6831","title":"Performance of Simple vs Complex Quantitative CT Metrics in Assessing Disease Severity and Progression in Scleroderma-Related ILD","year":2020,"lang":"en","type":"article","venue":"","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scleroderma (fungus); Simple (philosophy); Computer science; Medicine; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.007463158,0.0009392021,0.001008287,0.001932423,0.000263867,0.002666963,0.000579828,0.001163068,0.001265057],"category_scores_gemma":[0.01806209,0.0002628767,0.0006651763,0.0008320255,0.0005159144,0.001894084,0.0008015449,0.000644296,0.0003351162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004350828,"about_ca_system_score_gemma":0.0004171942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460597,"about_ca_topic_score_gemma":0.002224917,"domain_scores_codex":[0.9977961,0.0009780186,0.0002377481,0.0003570567,0.0004784955,0.000152549],"domain_scores_gemma":[0.9895421,0.006425093,0.001533907,0.0005233948,0.001348232,0.0006272905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0132684,0.000485828,0.7877789,0.0004703739,0.001017919,0.0001766191,0.000345113,0.01267296,0.01496628,0.0006177968,0.001112752,0.1670871],"study_design_scores_gemma":[0.0002988979,0.006431133,0.7999753,0.0002572463,0.0008941559,0.00142991,0.0006077619,0.1751488,0.01060252,0.001981279,0.002183496,0.000189575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826875,0.003522553,0.01050904,0.0001612716,0.00009968686,0.00009148147,0.0006230696,0.000186604,0.002118854],"genre_scores_gemma":[0.9948608,0.0002988984,0.004230338,0.00003907886,0.00003843933,0.00002737874,0.0002418359,0.00002644233,0.0002366708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007463158,"threshold_uncertainty_score":0.03946942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07524471403612797,"score_gpt":0.3389172686930888,"score_spread":0.2636725546569608,"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."}}