{"id":"W4403814738","doi":"10.1097/corr.0000000000003269","title":"CORR Insights®: Is Information About Musculoskeletal Malignancies From Large Language Models or Web Resources at a Suitable Reading Level for Patients?","year":2024,"lang":"en","type":"article","venue":"Clinical Orthopaedics and Related Research","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Reading (process); Sports medicine; Physical therapy; Linguistics","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":[0.002779919,0.0008048866,0.001108015,0.003569554,0.001130369,0.006164929,0.001073974,0.003310847,0.5247819],"category_scores_gemma":[0.06181949,0.0004580639,0.0007470225,0.002267277,0.001101291,0.0039249,0.002241794,0.001716803,0.2916605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520582,"about_ca_system_score_gemma":0.003869119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006916328,"about_ca_topic_score_gemma":0.01175917,"domain_scores_codex":[0.9968802,0.0008017,0.0004109168,0.0003073231,0.001206733,0.0003932256],"domain_scores_gemma":[0.9579457,0.0179597,0.002176461,0.002387423,0.01559721,0.003933414],"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":[0.00006484705,0.00002509917,0.0008115284,0.0002104998,0.000005739536,0.0000894507,0.00005685561,0.00001611213,0.00008874647,0.0004455201,0.9623955,0.03579001],"study_design_scores_gemma":[0.0001292155,0.0001792945,0.009068833,0.001345772,0.00007555108,0.001053588,0.00127174,0.000519857,0.001052646,0.006132164,0.9790961,0.00007532691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01323962,0.005116424,0.00645129,0.4046187,0.05112492,0.0005604064,0.07774127,0.02105487,0.4200925],"genre_scores_gemma":[0.153217,0.008891736,0.01570164,0.1094983,0.03445902,0.0009472237,0.06384344,0.01081032,0.6026313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5247819,"threshold_uncertainty_score":0.6778409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1559805290590431,"score_gpt":0.5095767674434857,"score_spread":0.3535962383844425,"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."}}