{"id":"W2805284316","doi":"10.1186/s12880-018-0255-7","title":"An automated algorithm for the detection of cortical interruptions and its underlying loss of trabecular bone; a reproducibility study","year":2018,"lang":"en","type":"article","venue":"BMC Medical Imaging","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Pfizer","keywords":"Reproducibility; Reliability (semiconductor); Medicine; Nuclear medicine; Operator (biology); Algorithm; Biomedical engineering; Volume (thermodynamics); Joint (building); Computer science; Mathematics; Statistics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559122,0.00007961527,0.0002478776,0.00006874953,0.0001475714,0.0000144125,0.00008671026,0.00003302324,0.00004564312],"category_scores_gemma":[0.003765391,0.00005332032,0.00005611967,0.0001389477,0.0005858809,0.00009016549,0.00004254654,0.0001563017,9.312477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001641131,"about_ca_system_score_gemma":0.0001494441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009874367,"about_ca_topic_score_gemma":0.0001598088,"domain_scores_codex":[0.9984214,0.0002004586,0.0003804404,0.0003627919,0.0004441151,0.000190848],"domain_scores_gemma":[0.9985675,0.0004447277,0.00006672052,0.0004560547,0.0002868125,0.0001782365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005638196,0.001806654,0.0573296,0.000298932,0.0002456628,0.00002990016,0.004532524,7.951865e-7,0.08357683,0.0001047526,0.00002357211,0.851487],"study_design_scores_gemma":[0.003376807,0.001363095,0.1668761,0.0003312951,0.00004206328,0.0002184396,0.004750987,0.8125723,0.01017397,0.0001606009,0.00005010017,0.00008419015],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442056,0.001741939,0.152954,0.000261086,0.00007346028,0.0006835327,0.00000439523,0.00006879916,0.000007150817],"genre_scores_gemma":[0.9982017,0.0001947393,0.001441384,0.00003181557,0.00006710389,0.00004515867,0.000002722767,0.00001149689,0.000003843349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8514028,"threshold_uncertainty_score":0.4507797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549177939685825,"score_gpt":0.4022560444642369,"score_spread":0.3473382504956544,"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."}}