{"id":"W2885310683","doi":"10.1002/nbm.4000","title":"Probabilistic classification of tumour habitats in soft tissue sarcoma","year":2018,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Radiation therapy; Biopsy; Voxel; Sarcoma; Soft tissue; Soft tissue sarcoma; Magnetic resonance imaging; Radiology; Medicine; Pathology; Nuclear medicine","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":[0.0003118697,0.0001315167,0.0003882547,0.0003359726,0.00001839196,0.000002995554,0.00008015778,0.00008556616,0.0002911424],"category_scores_gemma":[0.000247821,0.0001024092,0.00002992118,0.0005656239,0.0003321299,0.00003142463,0.00002339555,0.00009980851,0.000101961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391485,"about_ca_system_score_gemma":0.00007378795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645569,"about_ca_topic_score_gemma":0.0006427177,"domain_scores_codex":[0.998748,0.00003697035,0.000439364,0.0002759417,0.0002734599,0.0002262442],"domain_scores_gemma":[0.9992777,0.0001276507,0.00009887135,0.0002971553,0.0001075334,0.00009112967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002599698,0.002508931,0.8066869,0.0002517908,0.00003007181,0.0002209152,0.001401046,7.676248e-7,0.08843473,0.000421936,0.003017753,0.09676521],"study_design_scores_gemma":[0.00357172,0.001099597,0.9868409,0.0006138366,0.0000432117,0.00004027022,0.0002256899,0.0004187656,0.004114736,0.000696087,0.002253905,0.0000812881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901764,0.001388159,0.00005051165,0.005776063,0.0001184211,0.0006593556,0.0000055577,0.00002521959,0.001800276],"genre_scores_gemma":[0.9985352,0.0000508116,0.0008125077,0.0002171807,0.0001805567,0.00005307231,0.00005143025,0.00001578064,0.00008348934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180154,"threshold_uncertainty_score":0.4176126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833560797660425,"score_gpt":0.3322425397504282,"score_spread":0.2939069317738239,"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."}}