{"id":"W4255958309","doi":"10.1007/978-3-642-36961-2","title":"Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges","year":2013,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Computational model; Artificial intelligence","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":[0.002153206,0.0006586942,0.001501459,0.001466851,0.0003399233,0.003574926,0.002479975,0.001585662,0.002130808],"category_scores_gemma":[0.007705131,0.001353259,0.001250887,0.00207121,0.002377256,0.00352339,0.001683988,0.002948735,0.0009801367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058797,"about_ca_system_score_gemma":0.001107619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003677691,"about_ca_topic_score_gemma":0.003822615,"domain_scores_codex":[0.9994332,0.0002035459,0.00003895288,0.0001084768,0.0001804082,0.00003539007],"domain_scores_gemma":[0.9968457,0.002141267,0.0002609063,0.0003726337,0.0002548796,0.0001245544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003230487,0.00002060146,0.0009412601,0.0003229681,0.0001131425,0.0001316265,0.000177942,0.2445898,0.001578143,0.6191599,0.0207525,0.1121799],"study_design_scores_gemma":[0.000007276119,0.00001613711,0.000755124,0.00004924135,0.00001872963,0.0002699824,0.00005993011,0.3440954,0.0003061712,0.6419381,0.01245852,0.00002524571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006084709,0.01203122,0.9695278,0.006036232,0.0003176298,0.00002004039,0.0007993495,0.0004880466,0.004694951],"genre_scores_gemma":[0.4382191,0.04489415,0.4920885,0.001433725,0.002560028,0.0003228558,0.003442828,0.0007335611,0.01630536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003677691,"threshold_uncertainty_score":0.01138735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871584837301615,"score_gpt":0.2731042600856948,"score_spread":0.2443884117126787,"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."}}