{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802545,0.000281858,0.0003644929,0.001558419,0.0002262268,0.0006831068,0.0004015318,0.0004233915,0.0004849873],"category_scores_gemma":[0.003189287,0.0002824716,0.0004273042,0.0007174425,0.0004526571,0.0008502237,0.0004634382,0.0003543994,0.0002162927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736469,"about_ca_system_score_gemma":0.0002498711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739655,"about_ca_topic_score_gemma":0.00210687,"domain_scores_codex":[0.9995229,0.0001536492,0.00003114612,0.0001103335,0.0001285453,0.00005343767],"domain_scores_gemma":[0.9987621,0.0005726299,0.0002907601,0.0001344707,0.0001955425,0.00004450616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009734349,0.0001246659,0.2489491,0.0003019346,0.0002219691,0.0007478585,0.0009074046,0.2422516,0.08555511,0.004154512,0.001543571,0.4142689],"study_design_scores_gemma":[0.00002871934,0.0001881354,0.1863858,0.00003380685,0.00007049011,0.00206281,0.0003221426,0.7822618,0.01650007,0.008444846,0.003568137,0.0001331799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5422838,0.0004844864,0.4553286,0.0001032887,0.00001793962,0.000069387,0.0002077407,0.0004883102,0.001016338],"genre_scores_gemma":[0.9456071,0.0001020128,0.05363736,0.00001728628,0.00001690904,0.00004701988,0.0002390519,0.0000406868,0.0002925993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001739655,"threshold_uncertainty_score":0.00412643,"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."}}