{"id":"W3020214094","doi":"10.1016/j.joca.2020.02.483","title":"Deep learning-based segmentation from histology allows for automated quantification of calcified cartilage morphology in a rabbit model of post-traumatic osteoarthritis","year":2020,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Endochondral ossification; Anatomy; Cartilage; Osteoarthritis; Histology; Medicine; Condyle; Segmentation; Pathology; Artificial intelligence; Computer science","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":[0.0006101162,0.0003114954,0.0003688941,0.0006131445,0.0002159673,0.0005953017,0.0004841711,0.0007941868,0.0006878741],"category_scores_gemma":[0.0005225901,0.0004560311,0.0004224046,0.0002901747,0.0003642854,0.0004439193,0.0003411931,0.0006738886,0.0002248623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571122,"about_ca_system_score_gemma":0.0005882622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630948,"about_ca_topic_score_gemma":0.005026505,"domain_scores_codex":[0.9998367,0.000020504,0.000008826602,0.00004223565,0.00006361624,0.00002805484],"domain_scores_gemma":[0.9997091,0.00006257731,0.00009090394,0.00004713468,0.00005836624,0.00003182112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003276656,0.0001005358,0.001413524,0.0001213573,0.00003315965,0.0001473088,0.00005904203,0.01237493,0.9570828,0.000686144,0.0002798173,0.02737364],"study_design_scores_gemma":[0.00004489732,0.0006138097,0.01621264,0.00007385352,0.0001263029,0.0009951986,0.00008521469,0.3531101,0.6242039,0.001255044,0.003217483,0.00006167856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7659855,0.001668438,0.2279086,0.0003758164,0.00009937811,0.00006849302,0.000575962,0.001083298,0.0022346],"genre_scores_gemma":[0.9376801,0.0008361173,0.0576699,0.00008534489,0.0000163737,0.00005007034,0.000403837,0.0001789758,0.003079289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003630948,"threshold_uncertainty_score":0.007219613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371997789505702,"score_gpt":0.2614751970781455,"score_spread":0.2377552191830885,"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."}}