{"id":"W3184297834","doi":"10.1002/jsp2.1164","title":"Development of a standardized histopathology scoring system using machine learning algorithms for intervertebral disc degeneration in the mouse model—An <scp>ORS</scp> spine section initiative","year":2021,"lang":"en","type":"article","venue":"JOR Spine","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; NIH Office of the Director; National Institutes of Health; Starr Foundation","keywords":"Histopathology; Section (typography); Intervertebral disc; Degeneration (medical); Algorithm; Computer science; Artificial intelligence; Medicine; Pathology; Anatomy; Operating system","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":[0.007518354,0.001146814,0.0008370904,0.002951396,0.0004333486,0.001413125,0.001108583,0.0008488562,0.001552746],"category_scores_gemma":[0.006873194,0.0004509214,0.001030672,0.0009381192,0.0003503237,0.0009065843,0.001076591,0.00121827,0.001010535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008531096,"about_ca_system_score_gemma":0.001014395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250777,"about_ca_topic_score_gemma":0.002132961,"domain_scores_codex":[0.9965038,0.0009038482,0.0004810434,0.0004831503,0.001506417,0.0001217702],"domain_scores_gemma":[0.9931188,0.0008876799,0.001543953,0.0008936874,0.003339133,0.0002167603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006694372,0.0008735296,0.04321748,0.0004600902,0.0005434775,0.0001935812,0.0001380294,0.04531185,0.4163523,0.002890562,0.01140674,0.477943],"study_design_scores_gemma":[0.00009854015,0.001575405,0.05973324,0.0001911193,0.0002354716,0.0004955075,0.0001062849,0.7229388,0.2004757,0.002639319,0.01129419,0.000216468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06475233,0.0003497229,0.9266497,0.0001725266,0.000134829,0.0006983707,0.00102158,0.004725316,0.001495626],"genre_scores_gemma":[0.1667094,0.0003026295,0.8274633,0.0001307563,0.00004879272,0.001399878,0.001917489,0.0004298863,0.001597811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007518354,"threshold_uncertainty_score":0.0397613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07926488499060205,"score_gpt":0.3339291984228506,"score_spread":0.2546643134322485,"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."}}