{"id":"W6888957358","doi":"10.25384/sage.23671544.v1","title":"sj-docx-1-tab-10.1177_1759720X231171766 – Supplemental material for Comparative validation of the knee inflammation MRI scoring system and the MRI osteoarthritis knee score for semi-quantitative assessment of bone marrow lesions and synovitis-effusion in osteoarthritis: an international multi-reader exercise","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scoring system; Osteoarthritis; Magnetic resonance imaging; Bone marrow; Knee Joint; Inflammation","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":[0.002744633,0.00138313,0.001321655,0.004014764,0.001371683,0.003525619,0.003011018,0.002341125,0.9407846],"category_scores_gemma":[0.02782134,0.001399596,0.001105741,0.004041907,0.0005290991,0.003072056,0.001983738,0.002082473,0.7556518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476665,"about_ca_system_score_gemma":0.001640101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004810513,"about_ca_topic_score_gemma":0.008296897,"domain_scores_codex":[0.9980843,0.0002665917,0.0002989084,0.0003118104,0.0008373098,0.0002011066],"domain_scores_gemma":[0.9744626,0.01153539,0.001059704,0.001746772,0.01022006,0.0009754085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001443726,0.00008367447,0.0002325685,0.0005745963,0.000009455421,0.00001777637,0.00002468746,0.00004634558,0.0003651827,0.0002498735,0.9895265,0.008724898],"study_design_scores_gemma":[0.0004793943,0.0001442584,0.005737033,0.001002951,0.00003572986,0.0001637884,0.0002251281,0.00032457,0.002277681,0.001943148,0.9875801,0.00008635334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006690639,0.0003173763,0.002792906,0.001027218,0.001346679,0.0006311016,0.9447573,0.009238424,0.03921994],"genre_scores_gemma":[0.006319364,0.0006554722,0.01124618,0.002040954,0.0008473102,0.002246267,0.8206804,0.01442377,0.1415403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9407846,"threshold_uncertainty_score":0.08446354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05359744454465734,"score_gpt":0.3288230751233184,"score_spread":0.275225630578661,"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."}}