{"id":"W2044276812","doi":"10.1038/modpathol.3800976","title":"Diagnostic and prognostic markers for gastrointestinal stromal tumors in Norway","year":2007,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC; Sanofi","keywords":"CD117; GiST; Immunohistochemistry; Tissue microarray; Pathology; Gastrointestinal tract; Histology; Stromal cell; Atypia; Stromal tumor; CD34; Medicine; Nuclear atypia; Hematopathology; Biology; Internal medicine; Cytogenetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005106881,0.0001817508,0.0003043911,0.0002125836,0.00004980235,0.00001078032,0.000057714,0.00003323199,0.00002277393],"category_scores_gemma":[0.002445326,0.0001575937,0.00005692011,0.00009641393,0.0001827693,0.00003555798,0.00005245495,0.0002260718,0.00001588564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009066565,"about_ca_system_score_gemma":0.00008635249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002262818,"about_ca_topic_score_gemma":0.0001276085,"domain_scores_codex":[0.9983839,0.00004267614,0.0002807781,0.0003974519,0.0001551071,0.0007401328],"domain_scores_gemma":[0.9983299,0.0010827,0.00005159509,0.0001681019,0.00007972382,0.0002879363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232023,0.0003622305,0.9695408,0.0001113468,0.00000902016,0.0151171,0.00006881238,0.000008092582,0.006123227,0.0001428754,0.00003412159,0.007250293],"study_design_scores_gemma":[0.003075951,0.005036011,0.9686154,0.000278348,0.0000357319,0.02002332,0.00009482304,0.001503486,0.0002418093,0.0009866518,0.00001026418,0.00009827845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759102,0.0001388325,0.02183707,0.0004647776,0.00002156099,0.001089732,0.00001664558,0.00003243103,0.0004887269],"genre_scores_gemma":[0.9725344,0.000003653092,0.02697494,0.00008274113,0.000054963,0.0001285591,0.00003034565,0.00002622069,0.0001641252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007152014,"threshold_uncertainty_score":0.6426485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914010179571415,"score_gpt":0.2965431715838318,"score_spread":0.2774030697881177,"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."}}